Himel Mallick
Principal Investigator (Tenure-track Faculty), Population Health Sciences
New York, New York, United States
Summary
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Senior🎓
Top SchoolHimel 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.
10 years of coding experience
12 years of employment as a software developer
Film/Cinema/Video Studies, Film/Cinema/Video Studies at NJ Film SchoolDoctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at University of Alabama at BirminghamIndian Institute of Technology KanpurBachelor of Science (B.Sc.), Statistics, Bachelor of Science (B.Sc.), Statistics at University of CalcuttaPostdoctoral Fellowship, Computational Biology and Bioinformatics, Postdoctoral Fellowship, Computational Biology and Bioinformatics at Harvard UniversityHigh School, Biological and Physical Sciences, High School, Biological and Physical Sciences at Tarai Tarapada Adarsha Bidyalaya
Bengali, Hindi, English
Github Skills (19)
ecology10
decomposition10
linear-models10
microbiome10
meta-analysis10
bioconductor10
metagenomics10
connectivity9
bayesian9
sbml9
differential-expression9
predictor9
r8
machine-learning6
python4
Programming languages (5)
Github contributions (5)
himelmallick/BayesRecipe
Aug 2021 - Dec 2022
Contributions:5 commits, 101 pushes, 1 branch in 1 year 4 months
biobakery/melonnpan
Jan 2023 - Jan 2023
Model-based Genomically Informed High-dimensional Predictor of Microbial Community Metabolic Profiles
Contributions:1 commit, 1 PR, 227 pushes in 1 day
model-baseddimensionalmicrobialpredictorhigh-dimensional
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