Currently, I'm working with Professor Kaiming He and Dr. Tianhong Li on improving the representation learning capabilities of vision models. I believe that transferring the generalization power seen in natural language processing to computer vision is a pivotal challenge in deep learning and represents a significant milestone for extending foundation models to other domains. I also believe that "AI" should be developed responsibly, which is why I like thinking about first principles when I work. This has recently led me to collaborate with Professor Stephen Bates and Charlie Cowen-Breen on developing a new statistical protocol for rare event sampling. At MIT, I'm also fortunate to be advised by Professor Alexei Borodin.
Previously, I worked in the Coley Group with Wenhao Gao and in the Jensen Group with (now Professor) Andrew Zahrt on several projects using machine learning for molecular design. I'm interested in applying machine learning to accelerate scientific discovery as it is a key driver of technological innovation and economic growth.