Predicting experimental observables from protein structures using ML. Trying to anyway :)
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Auburn University
Oliver M. Crook
ococrook
Todd-Bird JRF Oxford Statistics. PhD Cambridge.
Probabilistic Machine Learning;
Bayesian Statistics;
Non-Parametrics
University of Oxford
Nicolas Tong
nt314p
Electronics hobbyist and simulation developer. Fascinated by complex behavior emerging from simple rules. It's a good thing I've got clock cycles to spare!
McGill University Canada
Gina El Nesr
gelnesr
Machine Learning and Protein Design & Dynamics - PhD in Biophysics - Stanford University
Stanford University Palo Alto, CA
Nathaniel Corley
nscorley
PhD Candidate at the University of Washington's Institute for Protein Design | Baker Lab | Machine Learning for Protein Design | Enzymes
@baker-laboratory Seattle
HADDOCK
haddocking
Computational Structural Biology Group @ Utrecht University
Utrecht, The Netherlands
Amber Molecular Dynamics
Amber-MD
For experienced Amber users: development versions of some parts of AmberTools
Gabriele Corso
gcorso
PhD student @ MIT • Research on Machine Learning and Geometric Representation Learning • Previously intern @ Twitter Research, D.E. Shaw and IBM
MIT
Tristan Bepler
tbepler
Group leader, Simons Machine Learning Center at NYSBC in NYC. We're hiring postdocs and research scientists to advance machine learning for structural biology.
MIT
Alex Morehead
amorehead
Hopper Postdoctoral Fellow @BerkeleyLab. Prev: CS PhD @BioinfoMachineLearning Lab @ UMissouri; Research intern @Profluent-AI & @AbSciBio. Deep Learning & AI4Sci
Lawrence Berkeley National Laboratory Berkeley, California