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AJ Friend

AJ is a data scientist at Waymo, formerly a data scientist at Uber Eats and maintainer of H3 and H3-py.

  • Hierarchical (Co-)Compaction for DGGS Cells
  • DGGS Set Design: Compaction-Aware Optimization
  • How Squished Are Your DGGS Cells? A Spherical Aspect Ratio
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Adam Cabrera

Adam Cabrera is a GIS professional with 35 years in the field, currently the Geo Engineering Manager at the King County GIS Center. Outside of work, he builds and open-sources GIS tools through MapSimple, most recently GeoProof and ProofSimple, a trust layer for AI-answered GIS queries, alongside QuerySimple, HelperSimple, FeedSimple, and FuseSimple. He recently defined Vector Coding, a disciplined approach to AI-assisted development where the human sets the architectural direction rather than deferring to the model. He writes about AI, architecture, and GIS craft at mapsimple.org.

  • GeoProof and ProofSimple: A Trust Layer for GIS AI Answers
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Alex Mandel

Gesopatial Engineer at Development Seed, helping scientists scale their workflows with cloud native geospatial solutions.

  • Access all the data at once, Virtual Zarr and GeoZarr
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Amritha Pallavoor
  • Detecting, mapping, and taxonomically classifying trees using RGB drone imagery
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Andrea Aime

Open source enthusiast with strong experience in Java development and GIS. Personal interest range from high performance software, managing large data volumes, software testing and quality, spatial data analysis algorithms, map rendering.
Full time open source developer on GeoServer and GeoTools, regular presenter at F0SS4G.
Received the Sol Katz's OSGeo award in 2017.

  • AI-dministering GeoServer and MapStore
  • GeoServer VS GeoServer: fight!
  • State of Geoserver
  • Precision farming with GeoServer: lessons learned and future directions
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Andreas Royset
  • Natural-Language Routing on an Open Stack
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Andres Abeyta

Andres Abeyta is the Executive Director of Bootcamp GIS an open geospatial learning platform. He is also on the industry/academia team on the World Geospatial Industry Council. He is a contributor to the WGIC report: Preparing He has a Master’s degree from the San Diego State Geography Department. He has been an innovative educator delivering custom onsite and online geospatial education to many government agencies around the country: BLM, USFS, USFWS, NPS, NOAA, US Navy, US Army, US Marine Corps, US Air Force. He has co-authored a new upper tier course list, https://bootcampgis.com/courses/, that represents an array of technical geospatial thought leadership from around the world.

  • Geospatial Workforce trends: The demand for open source
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Ari Tilles

Ari is a graduate student in Geographic Information Science at California State University, Northridge with a background in statistics. He works with open source geospatial tools in R, focusing on reproducible workflows for routing, accessibility modeling, and spatial analysis. He especially enjoys working with socioeconomic and demographic data to support equity focused geocomputation and modern data driven GIS methods.

  • Open-Source R Workflows for Modern Geospatial and Accessibility Analysis
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Atma Mani

Atma Mani is a staff software engineer, at Station A, where he leads the development of portfolio evaluation software for renewable energy projects. Previously, he served as staff and principal engineers at organizations such as Esri, Amperon, One Concern, focusing on geospatial software development. Atma also served as a Remote Sensing Scientist at the Indian Space Research Organization where he participated in mission critical projects. With over 18 years of experience, he has worked for private, academic, and government research institutions across different countries, applying various facets of geospatial technology. Atma holds a bachelor’s degree in engineering from the College of Engineering, Anna University, India, and a master’s degree from the University of Northern Iowa.

  • Building a Geospatial Feature Store: Lessons from Elastic, PostGIS, Kubernetes
  • From Satellite Pixels to Solar Production and Energy Storage
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Behrooz Etebari
  • Modeling SGMA Undesirable Result #6 Using Open-Source CVHM2 Workflows
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Bernardo Salazar

Bernardo Salazar is the founder of UrbanDataLabs, a civic data practice focused on practical GIS, decision-ready data, and right-sized analytics for public agencies, emergency management teams, nonprofits, and civic organizations. His work sits at the seam between geospatial tools and public-sector operations: field data systems, operational map packets, data-quality audits, workflow design, and handoff practices that help teams use maps under real constraints. He is especially interested in open-source geospatial tools that reduce overbuild, expose data problems, and make public-sector mapping systems more understandable, maintainable, and useful.

  • Sparse Data, Stronger Maps
  • Civic GeoShell for Emergency Map Sprawl
  • Wildfire Needs a Hazmat Overlay
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Brian Andres

Brian is a software engineer at Element 84 working on cloud-native geospatial systems, AWS infrastructure, and applications that make Earth observation data easier to discover and use. His work focuses on building scalable software for geospatial data processing, search, and retrieval, including recent work with LLM-generated captions and embeddings for natural-language geospatial search.

  • Creating LLM Captions and Embeddings for Natural-Language Geospatial Search
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Brian M Hamlin

Brian M. Hamlin, an OSGeo Charter Member since 2012, is a longtime advocate for open geospatial software; OSGeoLive Linux maintainer and PostGIS fan. He currently mentors the TorchGeo project, bridging machine learning and open earth observation data to Open Science for Environment

  • TorchGeo: ML Workflows for Open Geospatial Data
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Brianna (Pagán) Corremonte
  • Collections, collections, everywhere, but not the collection you need
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Bruce Momjian

Bruce Momjian is co-founder and core team member of the PostgreSQL Global Development Group, and has worked on PostgreSQL since 1996. He has been employed by EDB since 2006. He has spoken at many international open-source conferences and is the author of PostgreSQL: Introduction and Concepts, published by Addison-Wesley. Prior to his involvement with PostgreSQL, Bruce worked as a consultant, developing custom database applications for some of the world's largest law firms. As an academic, Bruce earned a Master's in Education and an honorary doctorate, taught high school computer science, and regularly lectures internationally.

  • Will Postgres Live Forever?
  • Can AI Write SQL?
  • Building Open Source Teams
  • Building an MCP Server Using Postgres
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Caitlyn Young

Caitlyn is an archaeologist and cultural geographer. Her research centers on the intersection of digital technology and landscape archaeology, applying community-engaged approaches to heritage preservation. She has contributed to projects integrating GIS, LiDAR, satellite imagery, and 3D printing to reconstruct historical landscapes and analyze cultural site distributions. Her current work uses GIS and remote sensing to increase native plant harvests in Surprise Valley, CA.

Caitlyn is a member of the #maptimeDavis council and a graduate student at UC Davis.

  • Point, Cloud, Print: 3D Printed Landscapes with Open Source Data
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Cam Denney
  • Building a Regional Geospatial Community: Lessons from BayGeo
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Chris Toney

Biological Scientist in Rocky Mountain Research Station's Forest Inventory and Monitoring Program, USDA Forest Service.

  • gdalraster: Comprehensive GDAL API bindings for R
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Corey White

Corey White is a Geospatial Research Software Engineer at the Center for Geospatial Analytics at North Carolina State University and the founder and CEO of OpenPlains Inc. He is a core contributor to GRASS, where he develops and maintains tools and addons spanning terrain, hydrologic, and time-series analysis. His research centers on terrain analysis, hydrologic modeling, and topographic change detection, including multi-temporal change detection across the Blue Ridge Escarpment following Hurricane Helene, the body of work that motivates this workshop. He teaches graduate courses in geospatial modeling and UAS mapping at NC State and regularly leads open-source geospatial training for research and professional audiences.

  • State of GRASS
  • Geohazard Change Detection for Emergency Management with GRASS
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Cristiano Giovando
  • Getting Crisis Imagery to Responders: Rebuilding OpenAerialMap
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Cynthia Williams

Geospatial professional with a background in airborne LiDAR operations, GNSS, and mapping technologies. Currently studying Geomatics and interested in bridging traditional survey and route geometry concepts with navigation, mapping, and spatial intelligence applications.

  • Spatial Memory Systems for GNSS-Degraded Navigation
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Dan Baston
  • GDAL in 2026: your script's a one-liner now
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Dan Joseph

Dan has been with the American Red Cross doing global disaster preparedness, response, and recovery projects since 2013. His start was in geospatial and he currently leads the International Department's Technology & Innovation team. He loves tinkering, gardening, and all things open.

  • Empowering people to map the urban heat island effect
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Daniel Tan

Daniel is a software engineer working on modelling and simulation tools in the web and cloud.

I've done a bit of everything from web mapping to HPC simulations.
Easily nerdsniped with low level geometrical algorithms and performance optimizations

  • Adding Open Source Tools to a Proprietary Ecosystem
  • ISTL: cloud native indexed STL files
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Dara O’beirne

I’m the Principal Application Developer for the City of Sacramento’s GIS Team. I enjoy exploring open source Geosptial technology and AI applications. I have 18 years of professional GIS experience and received both my BA and MA in Geography from San Francisco State University. I have taught Python programming and Open Source GIS at both SF State and UC Davis. https://daraobeirne.xyz/about.html

  • Geospatial AI Agents in Practice: Sacramento Open Data and Hermes
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Dariya Draganova

Dariya Draganova is a GIS Analyst and Developer with GreenInfo Network. She's currently working on a number of ongoing projects: California's 30x30, California's Important Plant Areas, the California Protect Areas Database (CPAD) and the California Consevation Easement Database (CCED), and the Conservation Lands Network.

  • An Iterative Process: Creating California's Important Plant Areas
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David Russell

I am a Spatial Data Scientist at UC Davis. My work focuses on developing open-source tools to help land managers and ecologists understand forests using data from drones and other low-cost sensors.

  • Geograypher: Enabling Geospatial Predictions from Individual Drone Images
  • Detecting, mapping, and taxonomically classifying trees using RGB drone imagery
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Dennis Wuthrich

Dennis is the Chief Executive Officer of Farallon Geographics and leads the software engineering team that has developed and extended the Arches platform since its inception in 2012. He is an active contributor to the Arches community and is a member of the Arches project’s governance Steering Committee.

  • Relationships Are the Data: Semantic Graphs for Geospatial Resources
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Derek Young
  • Detecting, mapping, and taxonomically classifying trees using RGB drone imagery
  • Detecting, mapping, and taxonomically classifying trees using RGB drone imagery
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Dewey Dunnington

Dewey Dunnington (Ph.D., P.Geo.) is a software engineer and geoscientist based in Winnipeg, Manitoba. As a software engineer he works on scaling spatial data science using Apache Sedona and Apache Arrow at Wherobots. Dewey is a co-creator of GeoArrow, nanoarrow, and a contributor to the Arrow Database Connectivity (ADBC) project. As a geoscientist, he has worked in contaminated site remediation, taught Applied Geomorphology, and has authored more than a dozen articles on lake water and sediment geochemistry. Dewey is an Apache Arrow and Apache Sedona Project Management Committee member, an RStudio-certified tidyverse instructor, an NSERC Postgraduate Scholarship (Doctoral) recipient, and maintainer of dozens of R, Python, C, and C++ libraries at the intersection of geoscience, geospatial data, and enterprise data connectivity.

  • SedonaDB: A fast, friction-free spatial database for Python + R
  • Wrangling uncomfortably large spatial data with Python and SedonaDB
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Doc Ritezel

Doc Ritezel is a principal consultant at Ministry of Velocity, a worker-owned software engineering cooperative focusing on transit data.

  • Open Transit Data from Cal-ITP
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EmmaLi Tsai

EmmaLi is a Data Scientist at EPIC who provides support for projects related to drinking water, wetlands, environmental justice screening tools, and short sprint development efforts. Prior to working with EPIC, she was a contractor for U.S. Fish and Wildlife Service and worked on conservation projects that ranged from coastal wetland transformation to migratory birds. EmmaLi also conducted research in marine and Antarctic ecosystems during her time in academia. She holds a Master of Science in Biology from Texas Tech University and a Bachelor of Science in Environmental Science from University of North Carolina at Chapel Hill.

  • OpenWetlandsMap - an accessible, community-maintained dataset of wetland observations
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Eric Larson

Eric Larson is a web application developer and library technologist with more than 18 years of experience building open-source, metadata-driven discovery systems. He is a core contributor and release manager for GeoBlacklight and has spent the past seven years as Lead Developer for the Big Ten Academic Alliance Geoportal, a collaborative geospatial discovery initiative serving 18 universities.

He is also co-founder of Gimlet, a service analytics platform used by more than 800 libraries worldwide. His work spans geospatial discovery, APIs, repository platforms, search architecture, metadata workflows, and sustainable open-source development, with technical expertise in Python, JavaScript, Ruby on Rails, FastAPI, Solr, and Elasticsearch.

He holds a Master of Library and Information Studies from the University of Wisconsin–Madison and brings a librarian’s commitment to access, stewardship, usability, collaboration, and long-term sustainability to every project.

  • From Geoportal to Platform: Introducing the BTAA Geospatial API
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Erin Mutch

I'm Erin Mutch, Director of the GIS Center and Geospatial Services at the UC Merced Library, a campus-wide program I founded in 2013. With nearly 30 years of geospatial experience spanning environmental consulting, municipal GIS, and academic instruction, I hold an MGIS from Penn State and teach software-agnostic geospatial methods, which includes open tools like QGIS and GDAL. My open-data work includes Cliopatria, a worldwide historical states dataset published in Nature Scientific Data (2025), and an in-progress ground-truthed Sundown Towns dataset built on an open three-repository architecture. I'm passionate about lowering barriers to geospatial tools and data in higher education.

  • Cliopatria - A geopolitical database from 3400BCE to 2024CE
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Evan Siroky

Evan Siroky is the Transit Data Quality Branch Manager within the Division of Data & Digital Services at Caltrans (California Department of Transportation). Evan’s team collects transit data and analyzes the quality of the data at transit agencies across California using a cloud-native data pipeline and warehouse that the team manages. Evan has had a variety of public and private sector jobs within the public transit technology industry. Prior to working at Caltrans, Evan was a senior software developer at IBI Group/Conveyal and served on the OpenTripPlanner Project Leadership Committee. Prior to that, Evan was a software developer at TriMet and built or maintained more than a dozen internal webapps including the agency’s IVR system that delivered realtime arrival information to riders.

  • Open Transit Data from Cal-ITP
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Evan Siroky

Evan Siroky has been working on open source public transit and timezone data projects for over 10 years. During his free-time he has spent some time over the last 10 years working on a project that produces open geospatial data about the world's timezone boundaries. Evan enjoys updating OpenStreetMap and being outdoors and using technology to improve the interaction between having dat about the world and experiencing the world.

  • Open Timezone Boundary Data - 10 Years In
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Fernando Pérez

Fernando Pérez is an Associate Professor in Statistics at UC Berkeley, faculty Scientist at Lawrence Berkeley National Laboratory, faculty director of the Berkeley Institute for Data Science (BIDS), and co-director of the Eric and Wendy Schmidt Data Science & Environment Center (DSE). His research focuses on creating tools for computational research across disciplines, with an emphasis on interactive computing, open science and reproducible research. He is particularly interested in the intersection of physics, data and AI in earth science, to address critical problems such as climate change and environmental protection, as well as supporting open source and AI in healthcare. He created IPython while a graduate student in 2001 and co-founded its successor, Project Jupyter. Also an entrepreneur, he is a co-founder and CTO of AIMATX, a company that builds tools for AI-driven design of novel materials.

Pérez co-founded the non-profit 2i2c initiative and the NumFOCUS Foundation. He is the recipient of the 2024 Exceptional Public Service Medal from NASA, the 2024 "Champions of Open Science" recognition from the White House Office of Science and Technology Policy, the 2017 ACM Software Systems Award, and the 2012 Award for the Advancement of Free Software from the Free Software Foundation. He is a Kavli Frontiers Fellow of the US National Academy of Sciences, and holds a PhD in physics from the University of Colorado, Boulder.

  • GeoJupyter: the Jupyter ecosystem and open tools for geospatial science
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Forrest Pound

Forrest Pound is a geospatial data scientist at Motivf where he builds probabilistic models of human mobility.

  • Precise but Partial: Honest Mobility Modeling for Public Decisions
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Fred Kepner
  • NASA Open Science Essentials
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Fuxun Yu

Dr. Fuxun Yu has extensive expertise in geospatial AI, remote sensing, and computer vision. He has published 50+ academic papers in top AI, CV, and ML conferences including NeurIPS, ICLR, and ICML, with 1900+ citations. He graduated with his PhD from George Mason University in 2022. After graduation, he joined Microsoft as Principal Research Manager and led the Geospatial Foundational Model (GFM) project at Microsoft.

  • Wildfire Intelligence with Open Geospatial AI
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GUILLAUME SUEUR

I am an independent GIS consultant and the founder of Geomermaids, with over 20 years of geospatial experience spanning national and regional spatial data infrastructure projects in France and consulting work now based near Boston. I am a long-time open source advocate, focused on cloud-native and the emerging geospatial stacks. My current work centers on building lean, automatable spatial data pipelines and helping teams move heavy geospatial workloads onto modern, open formats.

  • Make FEMA Flood Maps Cloud-Native: A GeoParquet + DuckDB Pipeline
  • DuckDB and Spatial Datasets: A Geo-Practitioner's Feedback
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George Owen

George is an open-source developer and developer advocate with Esri. They maintain the Esri Leaflet, MapLibre ArcGIS, and CesiumJS x ArcGIS integrations, and also work in security & authentication. In their free time, George enjoys hiking, art, and preserving old maps.

  • Performant maps, open data: Optimizing large municipal queries with MapLibre
  • Maps that do the talking: Data-driven visualization with MapLibre
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Gordon Luckett

Gordon Luckett is a GIS consultant, educator, and author specializing in open-source geospatial technologies. He helps organizations implement solutions using QGIS, MapGuide Open Source, PostGIS, OpenLayers, Leaflet, and FDO, combining practical training, enterprise GIS expertise, and real-world application development.

  • Connecting Everything to MapGuide Open Source
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Harshini Girish
  • Benchmarking Cloud-Optimized Point Clouds (COPC) for Scientific LiDAR Workflows
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Heather Savoy
  • The GeoCDL: streamlining geospatial workflows on high-performance computing infrastructure
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Henry Rodman

Henry is a Cloud Engineer at Development Seed

  • Collections, collections, everywhere, but not the collection you need
  • lazycogs: super lazy analysis of massive COG archives
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Howard Butler

Howard Butler is the president of Hobu, Inc., an open source software consultancy located in Iowa City, Iowa that focuses on point cloud data management solutions. He is an author of the Cloud Optimized Point Cloud specification, a Project Steering Committee member of the GDAL, PROJ, and GEOS projects, a contributing author to the GeoJSON specification, an active participant in the ASPRS LAS Committee, and a past member of the OSGeo Board of Directors. With his firm, Howard leads the development of the PDAL software library.

  • Code is liability – contributing to GDAL in the LLM era
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Ian Horn
  • KyFromAbove: Building on Open Data Success
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Isaac Brodsky

Isaac Brodsky is co-founder and CTO of Fused, building AI workflows for data. He was previously co-founder of Unfolded, and previously software engineer at Uber on Marketplace Data. He maintains the H3 open source library and the DuckDB extensions h3-duckdb and duckdb-zipfs.

  • Agents, DuckDB, and H3: Insights From Overture Without Really Trying
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JJ Paul

JJ is a spatial data science lead with SRF Consulting. His work focuses on streamlining data workflows to support development, infrastructure, and transportation planning efforts. JJ is currently pursuing a Ph.D. in Spatial Information Engineering at the University of Maine, where his research focuses on the analysis of real-time phenomena.

  • Open Methods for Disaggregating Commodity Flows
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Jada O'Donnell

Jada O'Donnell is an early career GIS Analyst at CivilGrid, where she builds and manages utility infrastructure datasets across the United States. With a master's degree in GIS, she works across tools including QGIS, PostGIS, and SQL. Speaking from firsthand experience as an entry-level professional, she explores how AI is transforming the skills, workflows, and expectations of the next generation of GIS practitioners.

  • AI, Open Source, and the Future of Entry-Level GIS
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Jarrett Keifer

Jarrett Keifer is a Senior Geospatial Software Engineer at Element 84, a commercial geospatial consultancy that uses open-source to build effective customer solutions. His interests include education and outreach, geospatial data formats, and high-performance systems/network programming. He enjoys designing systems to operate at scale, particularly to support remote sensing data processing and earth science applications, and has over ten years of experience contributing to open source projects.

  • Do formats exist? Towards a unified foundation for data tooling
  • Exploring Cloud Native Geospatial Data Formats: Hands-on with Vectors
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Jeroen Ticheler
  • Open Source for Geospatial Foundation updates
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Jesse Amundsen

My name is Jesse Amundsen. My main focus has been solving complex geospatial problems for the last 15+ years mainly within the telecom industry. I initially worked on spatial programming for network cost models developed for clients in both the private (ex: AT&T, Verizon) and public sector (ex: FCC, State Broadband Offices). I also worked on projects related to auction models and support programs (ex: CAF II, MF II).

After a decade using locational datasets not targeted narrowly enough for the purpose of broadband reporting, I led the technical development of the Broadband Serviceable Location Fabric (BSLF) (Reference #1, Reference #2). The BSLF has been implemented by agencies such as the FCC and NTIA for the purposes of broadband reporting and is used in multiple federal funding programs (ex: BEAD).

Along my journey I have become highly competent in PostGIS, using it to implement the majority of the geoprocessing pipeline that generates the BSLF. Additional areas of strength include software architecture and HTTP APIs, each with a focus on understanding and implementing in a spatial context.

I enjoy thinking through geospatial problems, spatial data science challenges, and advocating for building long-lasting complex systems out of simpler constituent parts.

  • Vector Tiles using DuckDB, GeoParquet & Azure Storage+Functions
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Jia Yu

Jia Yu is a co-founder of Wherobots, a Spatial Intelligence Cloud platform for spatial data ETL, analytics, and AI. Previously, he was a Tenure-Track Assistant Professor of Computer Science at Washington State University (2020–2023) and earned his Ph.D. from Arizona State University. Jia specializes in large-scale database systems and geospatial data management, with a focus on distributed systems, indexing, and visualization. His work has been featured in top conferences and journals such as SIGMOD, VLDB, ICDE, SIGSPATIAL, and VLDB Journal. He is the primary contributor to Apache Sedona, an open-source big spatial data framework with over 2 million monthly downloads and widespread industry adoption.

  • SedonaDB: A fast, friction-free spatial database for Python + R
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Jing Yuan

Environmental Scientist focused on analytical infrastructure, cloud-enabled decision support, and digital transformation.

  • Operational Geospatial Workflows for Decision Support
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Jody Garnett

Jody Garnett is an open source developer and advocate working with GeoCat Canada. He has over 20 years experience consulting, training, building solutions, and guiding technology development. Jody is on the steering committee for the GeoServer, GeoTools, and JTS Topology Suite projects, and volunteers as chair of the OSGeo Incubation Committee.

  • Project Support at OSGeo
  • GeoNetwork 5: Reimagining the Spatial Data Catalog for the future
  • Open Source and Cyber Security Regulation
  • GeoServer 3 Tour
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John Gunnar Carlsson
  • Natural-Language Routing on an Open Stack
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Karen Majewicz
  • The Archiving and Preservation of Public Geospatial Data
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Kate Vavra-Musser
  • Georeferencing Natural History Collections at Scale: A Hybrid AI Approach
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Kim Durante
  • The Archiving and Preservation of Public Geospatial Data
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Kirk Davis

Kirk Davis is a Senior Data Engineer at Timmons Group with over 13 years of GIS experience, specializing in leveraging large geospatial datasets through APIs, automation, and analytics. He focuses on solutions at the intersection of geospatial software, wildfire, and forestry.

  • Leveraging STAC to support CONUS-scale wildfire modeling
  • Supporting multiple SRIDs with PostGIS and Django's GeneratedField
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Lindsey Sim
  • A dashboard for monitoring HAB events in the SF Bay
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Maryam Hosseini

Maryam Hosseini is an Assistant Professor in City & Regional Planning at UC Berkeley, working at the intersection of computer vision, geospatial data systems, and representational validity. She developed Tile2Net, an open-source end-to-end system that converts orthorectified aerial imagery into pedestrian infrastructure layers and network representations, and CitySurfaces, a complementary framework for surface-aware urban mapping and analysis. She is an active contributor to open geospatial tooling communities, including UrbanTK and GeoJupyter, where she focuses on building reusable pipelines, evaluation practices, and documentation that make advanced geospatial methods transparent and reproducible.

  • Cities, unmapped: Scaling Pedestrian Infrastructure Mapping with Tile2Net
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Matt Brush

Geospatial programmer at Chico State Enterprises' North State Planning and Development Collective. Bachelor's degree in environmental science (Humboldt). Master's degree in GIS (PSU).

  • Wrangling spatial data, modeling biogeochemistry, and scaling serverless cloud infrastructure
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Matt Fisher
  • GeoJupyter: the Jupyter ecosystem and open tools for geospatial science
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Matthew Hanson

Matthew Hanson is a Senior Applied Scientist at LGND, where he works on AI, geospatial data infrastructure, and semantic search for Earth observation. He has more than 30 years of experience in remote sensing, cloud-native geospatial systems, and open geospatial technologies, with previous roles at Element 84 and Development Seed.

Matt is a member of the STAC Steering Committee and has been an active contributor to the open geospatial community through work on STAC, STAC Workflows, CEOS-ARD, cloud-native geospatial architectures, and open-source software. He is a frequent speaker at FOSS4G and other international geospatial conferences, where he enjoys sharing practical lessons from building large-scale Earth observation systems.

His current interests include foundation models for remote sensing, vector embeddings, semantic search, AI-assisted geospatial workflows, and the future of open geospatial standards.

  • Into the STACLands: A Choose Your Own Adventure
  • Open Geo Embeddings: Models, Representations, and Systems
  • Visualizing Aggregations in STAC: From Scenes to Coverage
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Matthew VanderMolen
  • Wrangling Public Geospatial Data into a Shared Model
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Michael Sumner
  • gdalraster: Comprehensive GDAL API bindings for R
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Michele Tobias

Michele Tobias holds a PhD in geography from University of California Davis, as well as an MS from University of Michigan, and a BA from UCLA. She has worked at the UC Davis Library for the past decade as a geospatial data scientist helping researchers with their data needs. Her personal research interests include using open source tools to understand California's sandy beach vegetation and geomorphology. She also has an interest in using her geospatial skills to help underserved research communities. Michele has served on the board of directors for OSGeo (international) and Technocation (OSGeo US), as well as arts non-profit organizations, and is a founding member and coordinator of #maptimeDavis.

  • We Scanned These Maps. Now What?
  • QGIS Map Design Fundamentals
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Minh Nguyễn

Minh is a mapper and community organizer for OpenStreetMap and OpenHistoricalMap. He organizes Silicon Valley’s volunteer mapping community as part of Open Source San José. He also facilitates software development for the OpenStreetMap Foundation and serves as an advisor to OpenHistoricalMap. On any given day, you can find him roaming the streets of San José looking for quirky and intriguing things to add to both maps.

  • The OpenStreetMap platform today
  • OpenHistoricalMap: across the geoverse
  • Meet the people who put San José on the map
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Mohammed Bilal Ahmed
  • Validating and Prioritizing Crowdsourced Disaster Reports with Open Geospatial Methods
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Naomi Provost
  • Moving from Science to Product
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Nathan McEachen

Nathan McEachen is the founder, CEO, and CTO of TerraFrame, which specializes in supporting ministries of health and national spatial data infrastructures by building geospatial knowledge infrastructures with open-source GIS, remote sensing, and interoperability solutions. He obtained his master’s degree in computer science from Colorado State University in the United States. He is academically published in the fields of software testing, model-driven engineering, disease intervention, and spatial information sciences. Nathan is involved with the Open Geospatial Consortium and HL7 to help align standards development, enabling more automated data integration across sectors to bring geospatial awareness to LLMs.

  • Introducing Geospatial Awareness to LLMs with Integrity, Provenance, and Trust
  • Building Geospatially Aware LLM Agents with Graphs and DGGS
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Nico Tripcevich

Associate Director at the Archaeological research facility, UCB

  • Scientific data gathering with QField
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Nidhi Jha

Dr. Nidhi Jha is a Research Scientist at the University of Alabama in Huntsville, supporting NASA's Office of Data Science and Informatics (ODSI). Her research focuses on geospatial artificial intelligence, remote sensing, Earth observation, and AI-driven scientific discovery. She is the SME lead for the Accelerated Knowledge Discovery (AKD) project initiative, where she develops collaborative methodologies for designing trustworthy AI agents for science. Her work spans agentic AI, Earth science data discovery and the integration of large language models into scientific workflows. She is actively involved in advancing open, community-driven frameworks for AI agents in Earth science and collaborates with NASA and the broader research community to accelerate scientific discovery through trustworthy and reproducible AI.

  • Building Trustworthy Open Geospatial AI Agents:Collaborative Co-Design Approach
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Oleg Pariser
  • Developing a GDAL Driver for Cloud-Optimized NISAR HDF5
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Pat Smyth

Pat Smyth is a full-stack geospatial data engineer with over 12 years of experience designing, deploying, and maintaining large-scale spatial data pipelines, knowledge-graph integrations, and cloud-based geospatial infrastructure.

  • Giving LLMs a Sense of Place: a Spatial MCP Server
  • Verify, then Trust: Evaluating Geo-AI
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Paul Walko

Open Source nerd

  • Open Source Low-Power Environment Monitoring with Meshtastic
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Pratyush Kumar Das
  • SEA-LWE: A Regional Dataset for Lake Surface Water Extent
  • Mastering Reproducible Geospatial Environments with Nix
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Rajat Shinde

Computer Scientist @ UAH, NASA MSFC ODSI
Ex-Vice President, OSGeo Board of Directors

  • Benchmarking Cloud-Optimized Point Clouds (COPC) for Scientific LiDAR Workflows
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Randal Hale

Randal Hale is owner operator of North River Geographic Systems, Inc. He’s been in the Geospatial Industry for far too long. He also hates talking in the third person. He’s currently on the board for a few organizations around the US (TNGIC, OSGEO US, and QGIS US). In my spare time I tend to go canoeing, possibly map something in OpenStreetMap, or go for increasingly long walks. We should go canoeing sometime.

  • QGIS Birds of a Feather
  • Hitchikers guide to QGIS
  • Small County use of PostGIS and QGIS for 911 databases
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Rhys Stewart

Rhys is co-founder and spatial data architect at Auchindown, a small Jamaican company that deals in all things spatial. Over more than 19 years he has analyzed, identified, and transformed spatial data into useful information and business insight, helping organizations make better-informed decisions.

He has worked with PostgreSQL/PostGIS since the days of PostgreSQL 8.0 and pre-1.0 PostGIS, and has taught Advanced PostGIS workshops at FOSS4G events around the world. His particular interest is PostGIS in the electric utility space: he is the developer behind Livewire (lvwr.io), a cloud-based power-delivery modeling and management solution built on the PRAM stack.

  • Wither QField? Mapping Apps in the Age of AI
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Rishi Madhok

Rishi Madhok is a geospatial AI and computer vision leader with deep experience across remote sensing and applied ML. He has authored 18+ papers and patents in top AI/CV venues, including NeurIPS, ICLR, ICML, and CVPR. He earned a Master's degree with a focus on computer vision from Carnegie Mellon University. He started his career building perception systems for self-driving vehicles at Uber ATG and later joined Microsoft, where he served as a Principal Applied Science Manager and led geospatial AI initiatives for Microsoft Planetary Computer.

  • Wildfire Intelligence with Open Geospatial AI
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Rodolfo Figueroa Soriano
  • Contract-Driven Geospatial Indicators at Any Scale
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Ryan Gillespie

Ryan is a developer/cartographer supporting data acquisition, validation, and ingest for the 3D Hydrography Program (3DHP).

  • Terrain analysis of large datasets: applications from the National Map
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Sanjog Thapa
  • GeoUI: An Open Intent Protocol for Agent-Driven Geospatial Visualization
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Seth Lawler

Seth Lawler, Ph.D., is an Associate Vice President at Dewberry, where he manages programs within the firm's Resilience Solutions group. He leads the development of open, interoperable geospatial technologies and decision support systems for flood forecasting, transportation resilience, and emergency management. His work spans software engineering, cloud-native geospatial infrastructure, and hydrologic modeling for clients including FEMA, NOAA, the U.S. Army Corps of Engineers, the USGS, and state and regional transportation agencies.

  • Building SWIFFT: Open Geospatial Flood Intelligence for Transportation Decision Support
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Shaishav Mahendrakumar Maisuria
  • Routes to Safety: A Wildfire Evacuation Map from Open Data
  • Accelerated Multi-Source Vector-Tile Generation with Open-source Frameworks
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Silas Toms

GIS Supervisor at PG&E and author of Python for ArcGIS Pro, Silas combines geospatial technology and AI into unique applications that power the future of GIS

  • Geospatial AI Agents in Practice: Sacramento Open Data and Hermes
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Simone Giannecchini

Simone Giannecchini is the founder and Technical Director of GeoSolutions, a leading contributor to open-source geospatial technologies such as GeoServer, MapStore, and GeoNode. With over two decades of experience in large-scale, standards-based system design, he has led deployments of spatial data infrastructures and 3D applications for public and private sector clients globally.

  • AI-dministering GeoServer and MapStore
  • GeoServer VS GeoServer: fight!
  • State of Geoserver
  • Precision farming with GeoServer: lessons learned and future directions
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Sina Kashuk
  • Agents, DuckDB, and H3: Insights From Overture Without Really Trying
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Sirgeo
  • Free Open Source Municipal Web Mapping using OpenLayers / GitLab Pages
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Soorya Narayan Satheesh
  • Building Environment App on Zero Budget: FOSS and Hard Lessons
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Takeo Shibata

Takeo Shibata is an independent researcher and systems engineer with more than 30 years of experience in software and information systems development. He studied geophysics at Tohoku University and the University of California, Berkeley, and has maintained a long-standing interest in GIS, remote sensing, and Earth-related data analysis.

Alongside his professional work in the food distribution industry, he continues to explore the intersection of AI, geospatial technologies, and practical applications. He has presented topics related to AI and GIS at academic and technical communities, primarily in Japan and occasionally in the United States. His current interests include applying Python-based geospatial workflows and satellite data to real-world environmental and agricultural problems.

  • Monitoring Drought Impacts on California Rice with Python
  • Predicting Rice Supply with GIS and Satellite Indicators
  • Building a Python Workflow for California Rice Monitoring
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Tim Bailey

Tim Bailey has worked in a variety of roles developing public interest natural resources spatial data systems. He is a cofounder of Salmon Creek Systems and specializes in lidar and photogrammetric methods for forestry and watershed management.

  • Open source utilization of 3DHP for fire adapted watershed management.
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Timothy Steward

Tim Steward is a Principal Enterprise Data Architect at Fujitsu Enterprise Postgres with over 30 years of database experience. During this time, he has developed a true passion for databases, and the evolution of technology. Tim enjoys the excitement he receives by knowing he helped a customer solve complex IT challenges by using his knowledge of database technology.

  • From Shapefiles to Spatial Databases: PostgreSQL Basics
  • Leveraging Open-Source to Build Cost-Effective Supply Chain Systems
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Tom Kralidis

Tom Kralidis is with the Meteorological Service of Canada and longtime contributor to FOSS4G. He leads and contributes to numerous projects in the Geopython ecosystem. He is the 2024 recipient of the Sol Katz Award for Free and Open Source Software for Geospatial (FOSS4G), awarded annually by OSGeo to individuals who have demonstrated leadership in the FOSS4G community.

Tom is the co-chair of the OGC API - Records Standards Working Group, chair of the WMO Expert Team on Metadata, and serves on the OSGeo Board of Directors.

  • Open Source for Geospatial Foundation updates
  • pygeoapi project status
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Tyler Erickson

Tyler Erickson is the CTO at the nonprofit Radiant Earth, where his work focuses on cloud-native geospatial infrastructure. A longtime open-source contributor, he first attended FOSS4G in 2007 and has worked at the intersection of large-scale Earth data and open tools ever since, across academia, big tech, independent consulting, and the nonprofit sector.

  • Source Cooperative: Cloud-Native Geospatial Data Publishing at any Scale
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Ushashi Podder

Ushashi Podder is an IT Automation and Monitoring Engineer in the Geographic and Data Engineering division at the New York City Department of City Planning, where they build and maintain geospatial data infrastructure. This research began during their studies at the University of Maryland, applying spatial accessibility methods to healthcare equity. Their work bridges spatial analysis and data engineering, with a focus on open-source geospatial methods and reproducible pipelines that make accessibility analysis approachable for anyone, from public agencies and private firms to community groups and independent researchers.

  • Who Gets Left Behind? A Reproducible Pipeline for Health Equity
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Vishal Kumar

Senior Software Engineering Leader at Amazon Maps, leading geospatial data pipelines for last-mile delivery. Leads adoption of OSM-derived datasets, Overture, and open-source GIS tools within Amazon. Tech lead for Amazon's visual and routing artifact generation.

  • Routes to Safety: A Wildfire Evacuation Map from Open Data
  • Accelerated Multi-Source Vector-Tile Generation with Open-source Frameworks
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Vitor Vieira

Vitor Vieira is a GIS Developer & Consultant at Lutra Consulting, where he bridges technology and business. His work spans software development and helping organizations streamline their GIS workflows to get more value from spatial data.

  • Mergin Maps: an open source platform for field data collection
  • From QGIS to the Field and Back with Mergin Maps
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W. Nick Pappin

Nick is a recovering IT person and a credentialed map nerd. He has been working with broadband data for almost 20 years and has developed reproduceable analysis tools that allow easier use of federal data.

  • Hacking the BDC (Broadband Data Collection) for fun and profit!
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avkoehl
  • Where to Cut? Partitioning Branching Shapes in River Floodplains
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rosswin
  • Ask the Map: Natural-Language Q&A for Disaster Response