Sarvesh Nikumbh
Principal Data Scientist -- Life Sciences
London, England, India
Summary
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Senior🎓
Top SchoolSarvesh Nikumbh is a Principal Data Scientist in Life Sciences with eight years of experience bridging machine learning, computational biology, and translational research across academia and industry. He holds a PhD from the Max Planck Institute for Informatics and progressed from PhD to postdoc at MRC LMS/Imperial before moving into ML roles at MSD and now ACSII, combining deep theory with practical biomedical impact. His background spans statistical consulting, large-scale computational projects, and early work on promoter classification presented at an international ML summer school, reflecting both rigorous research and applied analytics. Based in London with roots in India, he maintains links to MPI research codebases and brings a rare mix of formal ML training and hands-on life sciences data engineering that accelerates discovery-to-product pipelines.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Machine Learning, Computational Biology, Doctor of Philosophy (PhD), Machine Learning, Computational Biology at Max Planck Institute for InformaticsM.Tech, Modeling & Simulation, M.Tech, Modeling & Simulation at Savitribai Phule Pune UniversityBachelor of Engineering, Computer Science and Engineering, Bachelor of Engineering, Computer Science and Engineering at University of MumbaiHSC, Science, HSC, Science at D. G. Ruparel College
Github Skills (26)
medicine9
genomics9
python8
bioconductor8
r-package8
scipy7
bioinformatics5
pipeline5
deep-learning5
cffi5
machine-learning5
mathematics5
interoperability5
r4
data-processing4
Programming languages (6)
Github contributions (5)
snikumbh/snikumbh.github.io
Jul 2019 - Sep 2024
Contributions:95 pushes, 1 branch in 5 years 2 months
snikumbh/archR
Oct 2019 - Mar 2024
R package for discovery of clusters with characteristic sequence architectures using NMF
Contributions:3 releases, 6 PRs, 227 pushes in 4 years 5 months
architecturesr-packagesequenceclustersdiscovery
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