基本信息
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职业迁徙
个人简介
My research is in machine learning and motivated by questions in computational biology and chemistry. From a machine learning standpoint, I have been focusing primarily on generative modeling, Bayesian deep learning, large-scale training and active learning. This has lead to the development of new methods for protein modeling, mutation effects prediction and de novo drug design.
研究兴趣
论文共 23 篇作者统计合作学者相似作者
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Noor Youssef,Sarah Gurev,Fadi Ghantous,Kelly P. Brock,Javier A. Jaimes,Nicole N. Thadani,Ann Dauphin, Amy C. Sherman,Leonid Yurkovetskiy, Daria Soto, Ralph Estanboulieh,Ben Kotzen,
biorxiv(2024)
Nature Biotechnologyno. 2 (2024): 216-228
Natureno. 7984 (2023): 818-825
Mathieu Chevalley, Jacob Sackett-Sanders,Yusuf Roohani,Pascal Notin,Artemy Bakulin,Dariusz Brzezinski,Kaiwen Deng,Yuanfang Guan,Justin Hong, Michael Ibrahim,Wojciech Kotlowski,Marcin Kowiel,
CoRR (2023)
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bioRxiv : the preprint server for biology (2023)
Pascal Notin,Aaron W Kollasch,Daniel Ritter, Lood van Niekerk, Steffanie Paul, Hansen Spinner,Nathan Rollins, Ada Shaw, Ruben Weitzman,Jonathan Frazer,Mafalda Dias, Dinko Franceschi,
bioRxiv : the preprint server for biology (2023)
Chetan Gohil, Evan Roberts,Ryan Timms,Alex Skates,Cameron Higgins,Andrew Quinn,Usama Pervaiz,Joost van Amersfoort,Pascal Notin,Yarin Gal, Stanislaw Adaszewski,Mark Woolrich
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