David Silva-sanchez
Graduate Researcher
New Haven, Connecticut, United States
Summary
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Top SchoolDavid Silva-sanchez is a Yale Applied Mathematics PhD candidate and graduate researcher who develops computational methods at the intersection of Cryo-Electron Microscopy and molecular dynamics. With eight years of research experience, he has built differentiable Cryo-EM forward models in JAX, an OpenMM-Plumed interface, and optimized simulators in PyTorch and C++ to enable simulation-based inference and ensemble reweighting via Bayesian approaches. He has contributed to cryoJAX and the Cryo-EM Heterogeneity Challenge, translating advanced sampling and meta-inference ideas into practical tools for reconstructing heterogeneous structural ensembles. Based in New Haven, he combines deep algorithmic rigor with hands-on systems engineering, uniquely bridging high-performance simulation engines and differentiable ML pipelines.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Universidad de AntioquíaPh.D. Candidate, Applied Mathematics, Ph.D. Candidate, Applied Mathematics at Yale University
English, Spanish, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
science8
qr-decomposition8
reproducible-science7
automatic-differentiation7
python7
jit6
parallel-computing6
gpu6
composable6
machine-learning6
autodiff6
pytorch6
computational-science6
jax5
hpc4
Programming languages (8)
Github contributions (5)
flatironinstitute/Cryo-EM-Heterogeneity-Challenge-1
Jun 2024 - Mar 2025
The Inaugural Flatiron Institute Cryo-EM Heterogeneity Community Challenge
Contributions:23 reviews, 68 PRs, 97 pushes in 8 months
DSilva27/cryo_bife_MD
Feb 2022 - Jun 2022
Contributions:50 commits, 4 PRs, 32 pushes in 4 months
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