Peter Yichen Chen 陈逸尘
Postdoctoral Researcher
Massachusetts Institute of Technology
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 interdisciplinary research in diverse venues, including machine learning, computer graphics, 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), mentored by Joey Teran.
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.
Tutorials
Selected Publications
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Harvard Data Science Review (HDSR) 2024
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International Conference on Machine Learning (ICML) 2023
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International Conference on Machine Learning (ICML) 2023
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International Conference on Learning Representations (ICLR) 2023 (notable-top-25%)
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International Conference on Learning Representations (ICLR) 2023 (notable-top-25%)
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Journal of Computational Physics (JCP) 2023
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Journal of the Mechanics and Physics of Solids (JMPS) 2021
PhD Dissertation
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Committee: Eitan Grinspun, Ken Kamrin, Changxi Zheng, Steve Waiching Sun, Hod Lipson