About Me
Hello! This is Peter. Thanks for dropping by!
My research revolves around the intersection of artificial intelligence (AI) and physics simulation. Physics simulation has become the third pillar of science and engineering, alongside theory and experiments. Two distinct simulation paradigms have emerged: the classical laws of physics approach, e.g., leveraging partial differential equations (PDEs) derived from first principles, and the data-driven approach, e.g., training neural networks from observations. My research asks: how can we organically integrate these two approaches to amplify their respective strengths?
Along with my collaborators, We publish in top venues of machine learning, computer graphics (#metaverse), scientific computing, mechanics, robotics, and more. If there is any idea that you would like to bounce off, please do not hesitate to contact me!
Currently, I am a postdoc at MIT CSAIL, working with Wojciech Matusik. I completed my CS PhD from Columbia, advised by Eitan Grinspun. Before this, I was a math undergrad at UCLA (#GoBruins).
Outside of work, I am a foodie. If I am not consuming food myself, I am probably watching food videos and, sometimes, publishing food science papers! Food sparks joy like no other. I am always down munching together. Just let me know.
I am applying for faculty jobs this year. Happy to chat about it!
PhD dissertation
Publications
Preprints
