David Silva-sanchez
Graduate Researcher
New Haven, Connecticut, United States
Summary
👤
Senior🎓
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.
8 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 (32)
simulation9
science8
qr-decomposition8
reproducible-science7
computational-science7
parallel-computing7
jax7
data-analysis7
huggingface-datasets6
electron6
scientific-computing5
jit5
gpu5
hpc5
equinox4
Programming languages (8)
Github contributions (5)
DSilva27/cryo_bife_MD
Feb 2022 - Jun 2022
Contributions:50 commits, 4 PRs, 32 pushes in 4 months
DSilva27/Integrative_CryoEM_Plumed
Mar 2021 - Mar 2025
Contributions:3 PRs, 68 pushes, 22 branches in 3 years 11 months
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