I am an applied Artificial Intelligence researcher specializing 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
- December 2024: I'm looking for motivated PhD students for Google's 2025 Student Researcher program! Check my LinkedIn post for details.
- November 2024: ACM vision paper on a trajectory-powered foundation model.
- 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
