Shweta Chavan
Principal Scientist, Computational Biology
New York, New York, United States
Summary
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Senior🎓
Top SchoolShweta Chavan is a Principal Scientist in Computational Biology with over a decade of experience applying computational approaches to cancer genomics and proteomics, currently based in New York. She has progressed from academic bioinformatics research and a PhD to leadership roles at Memorial Sloan Kettering and Repertoire Immune Medicines, and now leads computational efforts at PATHOMIQ. Her work bridges deep domain expertise in cancer molecular oncology with translational applications in immuno-oncology and proteogenomics, driving analysis pipelines that inform experimental and clinical decision-making. Known for combining rigorous research publications with hands-on algorithm development, she navigates both academic and industry settings to move complex datasets into actionable insights. An early career background in microbiology and international training adds practical biological intuition to her computational skillset.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy Bioinformatics, Doctor of Philosophy Bioinformatics at UAMS - University of Arkansas for Medical SciencesMasters Bioinformatics, Masters Bioinformatics at Savitribai Phule Pune University
English, Hindi, Marathi
Github Skills (29)
rna-seq9
maf8
immunology8
sequencing8
bioinformatics8
next-generation-sequencing7
fits7
vep7
pypi6
perl6
bioconda5
genomics5
python5
converting4
profiling4
Programming languages (5)
Github contributions (5)
taylor-lab/ccs-post-filters
Dec 2018 - Mar 2019
Contributions:26 commits, 22 pushes, 1 comment in 2 months
ShwetaCh/everything-r-sh-pl
Oct 2015 - Jul 2019
Contributions:43 pushes, 1 branch in 3 years 9 months
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