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Jason Yim

PhD student
RESEARCH
De novo design of protein structure and function with RFdiffusion
2023
Diffusion probabilistic modeling of protein backbones in 3D for the motif-scaffolding problem
2022

Jason Yim is an EECS PhD candidate at MIT CSAIL advised by Tommi Jaakkola and Regina Barzilay. Previously, he was as a research engineer at DeepMind. He obtained his B.S. from Johns Hopkins University in Computer Science and Applied Mathematics.

Yim’s research aims to develop machine learning methods in scientific domains such as biology and chemistry. He is passionate about applications to medicine, environmentalism, and advancing scientific knowledge.

News

Generative AI Imagines New Protein Structures MIT News
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