Sumit Mukherjee
Senior Manager, Applied Science at Oracle
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolSumit Mukherjee is a senior applied science leader with a PhD from the University of Washington and a decade of experience building ML and statistical genetics solutions for healthcare and drug discovery. He has led ML-driven target discovery and multi-modal representation learning at insitro, developed privacy-preserving and large-scale analytics for COVID outcomes at Microsoft, and now directs clinical LLM efforts at Oracle Health. His work spans from foundational single-cell and transcriptomic methods to production-ready frameworks for genetic discovery in metabolic diseases, with multiple publications and patent-led efforts. Known for mentoring cross-disciplinary teams and managing academic collaborations, he blends deep academic rigor with product-focused execution. A not-obvious strength is his background in control systems and mathematical modeling, which informs his principled approach to robust ML system design.
10 years of coding experience
14 years of employment as a software developer
Graduate Certificate Applied Statistics, Graduate Certificate Applied Statistics at Penn State UniversityDoctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at University of Washington College of EngineeringSt. Thomas Boys' SchoolBachelor of Engineering - BE Power Engineering, Bachelor of Engineering - BE Power Engineering at Jadavpur UniversityMaster of Science (MS) Electrical Engineering, Master of Science (MS) Electrical Engineering at Rensselaer Polytechnic Institute
English, Bengali, Hindi, German, Persian
Github Skills (22)
seq10
gene-expression10
dimensionality-reduction9
single-cell-analysis9
bioinformatics9
transcriptomics9
tsne9
clustering9
rna-seq9
genomics8
smooth7
generative-adversarial-network7
python7
data-visualization6
neuroimaging6
Programming languages (2)
Github contributions (5)
Sage-Bionetworks/AMPAD_Lineage
May 2018 - Mar 2019
Ordering patients on smooth manifolds using lineage estimation tools
Contributions:20 commits, 1 PR, 16 pushes in 10 months
neuroimagingorderinglineagepatientsmachine-learning
microsoft/privGAN
Jul 2020 - Jan 2021
PrivGAN: Protecting GANs from membership inference attacks at low cost
Contributions:13 commits, 10 PRs, 11 pushes in 6 months
inferencegenerative-adversarial-networkmembership-inference-attacksganlow-cost
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