Tristan Bepler
Co-Founder And CEO at New York Structural Biology Center
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolTristan Bepler is a machine learning and computational biology leader with 12 years of experience translating AI methods into insights about protein sequence, structure, and function. As Co-Founder and CEO of OpenProtein.AI and a Group Leader at the Simons Machine Learning Center (NYSBC), he builds algorithms that span instrument automation to deep generative models for structural biology. He earned a PhD from MIT under Bonnie Berger, where his work ranged from protein sequence embeddings to cryoEM denoising and semi-supervised object detection. Tristan combines academic rigor with startup execution, hiring and mentoring postdocs and research scientists to move methods from code to impactful experiments. He is based in Cambridge, MA, and brings a rare blend of hands-on model development and practical expertise in protein structure determination.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computational and Systems Biol, Doctor of Philosophy - PhD Computational and Systems Biol at Massachusetts Institute of TechnologyBachelors of Science Computer Science Biology Double Major, Bachelors of Science Computer Science Biology Double Major at Duke University
Github Skills (20)
pytorch10
convolutional-neural-networks10
protein-sequences10
particle10
machine-learning10
autoencoder10
denoising10
pipeline10
object-detection10
microscopy10
electron9
language-modeling9
deep-learning9
sequence9
filesystem4
Programming languages (2)
Github contributions (5)
tbepler/JProbe
Oct 2013 - Aug 2014
Contributions:572 commits in 9 months
tbepler/protein-sequence-embedding-iclr2019
Feb 2019 - Jun 2021
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
Contributions:7 commits, 5 pushes, 1 branch in 2 years 4 months
iclrsequenceautoencoderlanguage-modelingdeep-learning
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