Jason Yim

Ph.D

Computer Science & Artificial Intelligence Laboratory Department of Electrical Engineering and Computer Science, Schwarzman College of Computing, Massachusetts Institute of Technology;Microsoft

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Bio

My research aims to develop machine learning methods in scientific domains such as biology and chemistry. I am passionate about applications to medicine, environmentalism, and advancing scientific knowledge.

Research Interests

Papers共 20 篇Author StatisticsCo-AuthorSimilar Experts

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期刊级别

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合作机构

Generator Matching: Generative Modeling with Arbitrary Markov Processes

Peter Holderrieth,Marton Havasi,Jason Yim,Neta Shaul,Itai Gat, Tommi S. Jaakkola,Brian Karrer,Ricky T. Q. Chen,Yaron Lipman

CoRR (2024)

Cited0Views0EIBibtex

Improved Motif-Scaffolding with SE(3) Flow Matching

Jason Yim,Andrew Campbell,Emile Mathieu,Andrew Y K Foong,Michael Gastegger,José Jiménez-Luna,Sarah Lewis,Victor Garcia Satorras,Bastiaan S Veeling,Frank Noé,Regina Barzilay,Tommi S Jaakkola

Trans Mach Learn Res (2024)

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Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Andrew Campbell,Jason Yim,Regina Barzilay,Tom Rainforth,Tommi Jaakkola

arXiv (Cornell University)（2024）

Cited0Views0EIWOSBibtex

Scalable Emulation of Protein Equilibrium Ensembles with Generative Deep Learning

Sarah Lewis,Tim Hempel,José Jiménez Luna,Michael Gastegger, Yu Xie,Andrew Y. K. Foong,Victor García Satorras, Osama Abdin,Bastiaan S. Veeling,Iryna Zaporozhets, Yaoyi Chen, Soojung Yang,Arne Schneuing,Jigyasa Nigam, Federico Barbero,Vincent Stimper,Andrew Campbell,Jason Yim, Marten Lienen, Yu Shi,Shuxin Zheng,Hannes Schulz,Usman Munir,Cecilia Clementi,Frank Noé

biorxiv（2024）

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Improving Protein Optimization with Smoothed Fitness Landscapes

Andrew Kirjner,Jason Yim, Raman Samusevich, Shahar Bracha,Tommi S. Jaakkola,Regina Barzilay,Ila R Fiete

ICLR 2024（2024）

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Diffusion Models in Protein Structure and Docking

Jason Yim,Hannes Staerk,Gabriele Corso,Bowen Jing,Regina Barzilay,Tommi S. Jaakkola

Wiley Interdisciplinary Reviews Computational Molecular Scienceno. 2 (2024)

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Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing

Andrew Kirjner,Jason Yim, Raman Samusevich,Tommi Jaakkola,Regina Barzilay,Ila Fiete

CoRR (2023)

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SE(3) Diffusion Model with Application to Protein Backbone Generation

Jason Yim,Brian Trippe,Valentin De Bortoli,Emile Mathieu,Arnaud Doucet,Regina Barzilay,Tommi Jaakkola

ICML 2023（2023）

Cited155Views0EIBibtex

155

De Novo Design of Protein Structure and Function with RFdiffusion

Joseph L. Watson,David Juergens,Nathaniel R. Bennett,Brian L. Trippe,Jason Yim,Helen E. Eisenach,Woody Ahern,Andrew J. Borst,Robert J. Ragotte,Lukas F. Milles,Basile I. M. Wicky,Nikita Hanikel,Samuel J. Pellock,Alexis Courbet,William Sheffler,Jue Wang,Preetham Venkatesh,Isaac Sappington,Susana Vázquez Torres,Anna Lauko,Valentin De Bortoli,Emile Mathieu,Sergey Ovchinnikov,Regina Barzilay,Tommi S. Jaakkola,Frank DiMaio,Minkyung Baek,David Baker

NATURE（2023）

Cited212Views0WOSNATUREBibtex

212

Diffusion Probabilistic Modeling of Protein Backbones in 3D for the Motif-Scaffolding Problem

Brian L. Trippe,Jason Yim,Doug Tischer,David Baker,Tamara Broderick,Regina Barzilay,Tommi Jaakkola

ICLR (2023)

Cited113Views0EIBibtex

113

Author Statistics

#Papers: 19

#Citation: 1897

H-Index: 8

G-Index: 9

Sociability: 5

Diversity: 1

Activity: 44

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