Saurabh Belsare
Research Scientist at Pacific Biosciences of California
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolSaurabh Belsare is a research scientist and bioinformatics expert with a decade of experience applying computational genomics, machine learning, and biophysical simulation to complex biological problems. He holds a PhD from UC Berkeley and has driven research and product-focused roles across academia and industry, including postdocs at UCSF and University of Oregon and a senior scientist role at PacBio. His work spans large-scale genomic data analysis and method development, and he contributes to high-performance molecular simulation tooling—enhancing OpenMM’s AMOEBA force field with GPU-accelerated dipole calculations. Based in Seattle, he blends deep theoretical training with practical engineering to deliver reproducible, scalable solutions for genetics and molecular modeling.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of California, BerkeleyIndian Institute of Technology Bombay
Github Skills (7)
simulations10
simulation10
c-language10
cprogramming-language10
molecular-simulation10
nonlinear-dynamics10
cuda9
Programming languages (5)
Github contributions (5)
openmm/openmm
Dec 2015 - Jul 2016
OpenMM is a toolkit for molecular simulation using high performance GPU code.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:49 commits, 1 PR, 14 comments in 6 months
Contributions summary:Saurabh's contributions primarily revolve around implementing and modifying functions within the Amoeba multipole force platform of the OpenMM molecular simulation toolkit. They focused on adding and implementing functions to calculate permanent and total dipole moments. Furthermore, the user worked on integrating the LabFramePermanentDipoles function into the CUDA kernels, ensuring the proper retrieval of dipole moments within the OpenMM framework. These modifications enhanced the AMOEBA force field capabilities within the simulation environment.
gpumolecular-simulationsimulationmolecular-dynamics
saurabhbelsare/tskit
Apr 2020 - Apr 2022
The tree sequence toolkit
Contributions:17 PRs, 13 pushes, 19 branches in 2 years
bioinformaticssequence
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