Himel Mallick

Member, Cornell Center For Health Equity at Cornell University

New York, New York, United States
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Summary

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Senior
🎓
Top School
Himel Mallick is a tenure-track principal investigator at Cornell University with nearly two decades of expertise in statistics, biostatistics, and AI/ML applied to translational biomedical problems. He builds cross-disciplinary teams that fuse systems biology, multi-omics and machine learning to accelerate target identification and biomarker discovery, translating complex biological data into clinically actionable insights. Before academia, he led end-to-end biomarker and single-cell/spatial transcriptomics initiatives at Merck and developed widely used open-source tools (MaAsLin 2 and MelonnPan) during his postdoc at Harvard/Broad. Trained with a Ph.D. in Biostatistics from UAB and graduate degrees from IIT Kanpur and University of Calcutta, he blends rigorous Bayesian methodology with practical deployment in industry and public health cohorts. Notably, his software contributions have been downloaded and cited extensively, reflecting both methodological depth and real-world impact.
code10 years of coding experience
job12 years of employment as a software developer
bookFilm/Cinema/Video Studies, Film/Cinema/Video Studies at NJ Film School
bookDoctor of Philosophy (Ph.D.) Biostatistics, Doctor of Philosophy (Ph.D.) Biostatistics at University of Alabama at Birmingham
bookIndian Institute of Technology Kanpur
bookBachelor of Science (B.Sc.) Statistics, Bachelor of Science (B.Sc.) Statistics at University of Calcutta
bookPostdoctoral Fellowship Computational Biology and Bioinformatics, Postdoctoral Fellowship Computational Biology and Bioinformatics at Harvard University
bookHigh School Biological and Physical Sciences, High School Biological and Physical Sciences at Tarai Tarapada Adarsha Bidyalaya
languagesBengali, Hindi, English
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Github Skills (15)

linear-models10
microbiome10
bayesian10
bioconductor10
metagenomics10
differential-expression9
predictor9
machine-learning8
r8
classification8
clustering5
scipy2
regression2
computational-biology1
bioinformatics1

Programming languages (4)

RTeXJupyter NotebookPython

Github contributions (5)

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himelmallick/BayesRecipe

Aug 2021 - Dec 2022

Contributions:5 commits, 101 pushes, 1 branch in 1 year 4 months
himelmallick/DAssemble

Aug 2023 - Dec 2025

Ensemble models for differential analysis
Contributions:2 PRs, 8 pushes, 1 branch in 2 years 4 months
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