Senior Research Scientist, Waymo |
Bio
I am currently a research scientist at Waymo (formerly the Google self-driving car project). Previously, I spent several years at Argo AI, Intel Labs, and Zillow Research. I received my Ph.D. from Georgia Tech, where I was advised by James Hays and Frank Dellaert. Prior to joining Georgia Tech, I completed my Bachelor’s and Master’s degrees in Computer Science at Stanford University, specializing in artificial intelligence.
Research
My interests revolve around generative modeling and machine learning for robotics and autonomy. Past and present research areas have included image understanding, 3D perception, SLAM, and simulation. I’ve been involved in research for self-driving vehicle development since 2017.
News
- September 2024: One paper is accepted to NeurIPS 2024.
- September 2024: Learn more about our recent work on diffusion-based world models for simulation from our CVPR ‘24 workshop talk [YouTube link].
- June 2024: The 2024 Waymo Open Dataset Challenges have concluded. I served as a co-organizer, and reports from winners can be found here, along with a YouTube recording.
- September 2023: I will be speaking at the 2023 IROS Workshop on Traffic Agent Modeling for Autonomous Driving Simulation in October.
- September 2023: Our paper The Waymo Open Sim Agents Challenge is accepted to NeurIPS ‘23 as a Spotlight, in the Datasets & Benchmarks track.
- May 2023: The 2023 Waymo Open Dataset Challenges have concluded. Our whitepaper describing the 2023 Sim Agents challenge is on Arxiv.
- March 2023: The 2023 Waymo Open Dataset Challenges are live. More info available here.
- July 2022: Our paper SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas has been accepted to ECCV 2022. [Project Page] [Paper] [Code]
Teaching
Aside from research, another passion of mine is teaching. I enjoy creating teaching materials for topics related to computer vision, a field which relies heavily upon numerical optimization and statistical machine learning tools. A number of teaching modules I’ve written can be found below: