Sukanya Sasmal
Research Scientist at Amazon
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolSukanya Sasmal is a research scientist with nine years of experience applying computational chemistry and protein design to accelerate drug and vaccine discovery. With a PhD from UC Berkeley and postdoctoral work at UC Irvine, she has developed advanced sampling and free-energy methods and led in silico screening campaigns for oncology targets. At Sanofi she helped build in-house antigen design capabilities combining structural biology and ML, and now continues translational research at Amazon. Her technical toolkit spans molecular dynamics, docking, QSAR, homology modeling, and polarizable force fields, and she has a track record of cutting cost and improving convergence for simulations of disordered proteins. Notably, her graduate work revealed how common spin-labels perturb intrinsically disordered ensembles—insights that inform more accurate computational-experimental integration.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at University of California, BerkeleyBachelor of Technology (B.Tech.) + Master of Technology (M. Tech.), Chemical Engineering, Bachelor of Technology (B.Tech.) + Master of Technology (M. Tech.), Chemical Engineering at Indian Institute of Technology, Kharagpur
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
candidate10
sampling9
parameterization9
binding9
sbml9
monte-carlo9
materials-informatics8
molecular-simulation8
describe5
systems-biology4
python3
mcmc3
crystallography3
simulation3
dvc2
Programming languages (2)
Github contributions (5)
MobleyLab/D3R-2018-AutoDock-MMGBSA
Jun 2019 - Jun 2019
Contributions:7 commits, 4 pushes in 3 days
MobleyLab/blues-flexible-ligand
Aug 2019 - Nov 2019
Contributions:50 pushes, 1 branch in 2 months
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