Published multiple papers, including 'INQUIRE: A Natural World Text-to-Image Retrieval Benchmark' (NeurIPS 2024), 'Agile Modeling: From Concept to Classifier in Minutes' (ICCV 2023), 'JRDB-Pose: A Large-scale Dataset for Multi-Person Pose Estimation and Tracking' (CVPR 2023), and more.
Research Experience
Interned at Google Research, Google Photos, SpaceX, and NVIDIA, working on enabling domain experts to create new vision classifiers in real-time using foundation models, launch control software for Starship and ground support systems, creating and optimizing a deep learning-based 3D body pose detection pipeline, and developing the Google Photos web interface with a focus on new sharing features.
Education
Earned a master's degree in Computer Science from Stanford University, where he was a research assistant at the Stanford Vision and Learning Lab and VL4AI Research Lab under Ehsan Adeli and Hamid Rezatofighi.
Background
Currently a second-year PhD student at MIT EECS, advised by Sara Beery and supported by the MIT Presidential Fellowship and NSF GRFP. Interested in bringing automation to scientific discovery, including building systems and agents that can autonomously carry out scientific data collection, data science, and analysis. Also interested in medical and biological applications of AI.