Tanmoy Sanyal
Principal Protein Design Scientist at Amgen
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTanmoy Sanyal is a Principal Protein Design Scientist in San Francisco with 11 years of interdisciplinary experience spanning protein design, structural biology, and computational chemistry. He combines 3+ years of hands-on biologics design across peptides, minibinders, monoclonals and bispecifics with 5+ years modeling macromolecular complexes from cross-linking and cryo-EM data. With a 9-year background in probabilistic machine learning for force-field optimization and coarse-grained MD, he bridges statistical modeling and biophysics to accelerate actionable discovery. A consistent open-source developer in Python/C++, he has contributed tooling to the widely used LAMMPS MD ecosystem to handle REMD trajectories and configurational weighting. Trained as a chemical engineer (PhD, UC Santa Barbara), he pairs rigorous simulation expertise with practical experimental awareness from academic and industry roles at UCSF, Novo Nordisk and Amgen.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy Chemical Engineering, Doctor of Philosophy Chemical Engineering at UC Santa BarbaraBachelor of Technology (B.Tech.) (Hons.) and Master of Technology (M.Tech) Dual Degree Chemical Engineering, Bachelor of Technology (B.Tech.) (Hons.) and Master of Technology (M.Tech) Dual Degree Chemical Engineering at Indian Institute of Technology, Kharagpur
Bengali, English, Hindi
Github Skills (8)
lammps10
molecular-dynamics-simulation10
python10
molecular-simulation10
dynamics10
scientific-computing9
data-analysis8
mpi7
Programming languages (4)
Github contributions (5)
lammps/lammps
Sep 2019 - Sep 2019
Public development project of the LAMMPS MD software package
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 12 commits, 5 PRs in 15 days
Contributions summary:Tanmoy primarily contributed to a Python tool designed to reorder REMD trajectories within the LAMMPS molecular dynamics software package. Their work involved modifying existing scripts, including fixing import issues and adding features to calculate configurational weights. They also integrated the tool into an example workflow, linking it to other related scripts. The user demonstrated proficiency in manipulating LAMMPS trajectory data.
lammpsmolecular-dynamicssimulationkokkos
tanmoy7989/c25ld
Jul 2015 - Mar 2018
Contributions:76 pushes, 4 branches in 2 years 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.