Talant Ruzmetov
Postdoctoral Researcher at University of California, Riverside
California, United States
Summary
👤
Senior🎓
Top SchoolTalant Ruzmetov is a computational scientist and machine learning researcher with 10 years of experience applying physics-informed deep learning to biomolecular problems, currently a postdoc at UC Riverside. He builds novel equivariant neural architectures and graph autoencoders for protein conformational sampling and developed milestoning-based software for protein–ligand binding free energy calculations. Previously at Rutgers he designed SE(3)-ConvNets and SE(3)-autoencoders for fragment binding and latent peptide representations, and leveraged AlphaFold pipelines for docking workflows. Based in California, he blends rigorous theoretical biophysics (PhD) with hands-on GPU-accelerated simulation and open-source development, maintaining an active GitHub focused on computational science and ML. Notably, his work emphasizes rotationally and translationally equivariant representations to improve full-structure sampling rather than just local predictions.
10 years of coding experience
2 years of employment as a software developer
Bachelor's, Physics, Bachelor's, Physics at National University of UzbekistanDoctor of Philosophy (PhD), Computational and Theoretical Biophysics, Doctor of Philosophy (PhD), Computational and Theoretical Biophysics at Kent State UniversityMaster of Science (MS), Physics, Master of Science (MS), Physics at Mississippi State University
English, Uzbek, Russian
Github Skills (12)
representations10
proteins9
docking9
structural-biology8
symmetry8
protein-structure7
deep-learning6
modular6
numerical5
pytorch5
neural-network4
root-finding4
Programming languages (2)
Github contributions (5)
chang-group/BKiT
May 2022 - Nov 2022
Contributions:46 commits, 19 pushes, 1 branch in 5 months
truzmeto/TorchProteinLibrary
Oct 2019 - Jun 2021
PyTorch library of layers acting on protein representations
Contributions:2 PRs, 9 pushes, 2 branches in 1 year 8 months
pytorchactingrepresentationsdeep-learninglayers
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