Feng Yu
Bioinformatics Postdoctoral Fellow (SIBYLS Beamline)
California, United States
Summary
👤
Senior🎓
Top SchoolFeng Yu is a computational biophysicist and bioinformatics postdoctoral fellow with nine years of experience applying machine learning, generative models, and high-performance computing to protein structure prediction and drug discovery. At Berkeley Lab’s SIBYLS beamline he develops diffusion-based generative models and experimental-data-integrated pipelines that extend AlphaFold toward realistic protein ensembles. His PhD work produced TB-scale simulation databases and novel IDP analysis tools that changed conformational ensembles experimentally by over 40% and yielded a first-of-its-kind IDP FRET osmotic-pressure biosensor. Comfortable across cloud, HPC, and lab settings, Feng combines software engineering (Spark, Python, PyTorch) with hands-on biophysics to move models from large-scale simulation to biological validation. Based in California, he has repeatedly optimized pipelines for scalability and reproducibility, including AWS/Databricks deployments and open-source toolkits.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at Nanjing UniversityDoctor of Philosophy - PhD Quantitative and Systems Biology, Doctor of Philosophy - PhD Quantitative and Systems Biology at University of California, Merced
Github Skills (22)
data-structures8
data-analysis8
python8
science8
frame8
pandas8
computational-chemistry8
simulations8
dynamics8
manipulation8
simulation8
data-science8
molecular-simulation8
dataframes7
molecular-dynamics-simulation7
Programming languages (2)
Github contributions (5)
smallfishabc/simulationdatabase
Aug 2021 - Aug 2022
Contributions:41 commits, 16 pushes, 4 branches in 1 year
sukeniklab/Entropic_Force
Dec 2022 - Jan 2023
Contributions:17 commits, 16 pushes, 1 branch in 1 month
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