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.
Session
Wildfire response needs continuous intelligence from ignition alerts, monitoring, to recovery. This talk presents an open geospatial ML workflow combining weather satellites, active-fire alerts, news, burn-severity analytics, and high-resolution imagery for lifecycle monitoring and damage assessment.