I am an applied Artificial Intelligence researcher who specializes in cutting-edge techniques such as foundation models, computational decision-making, and multi-agent systems. My work spans diverse domains, including global-scale geospatial intelligence, autonomous mobility networks, and robotics.
As an AI Software Engineer at Google Research, I develop foundation models and innovative applications that interpret and reason about the built environment. My contributions have driven cross-functional research and real-world impact across Google Maps, Ads, and other key platforms. Previously, as Research Lead at a Series A startup, I built intelligent digital platforms that optimized urban transportation and advanced smarter cities.
I hold a Ph.D. in Computer Science from Stanford, where my award-winning research on multi-agent decision-making for large-scale autonomous systems was covered by the BBC, Venture Beat, and IEEE Spectrum. I also earned an MS in Robotics from Carnegie Mellon, focusing on advanced robot planning techniques.
Recent News
- July 2025: We're organizing the first ever workshop on Urban Mobility Foundation Models (UMFM) at ACM SIGSPATIAL 2025! Please check out the workshop website for details.
- April 2025: Multiple showcases of my mobility foundation model work on the Google Research blog: Geospatial Reasoning and Mobility AI!
- November 2024: Google Research blog post on our globally scalable machine learning framework for traffic congestion.
- October 2024: Invited talk at the GeoIndustry@ACM SIGSPATIAL 2024 workshop.
Selected Publications
