Himel is a tenure-track Principal Investigator researching at Cornell University's Department of Population Health Sciences. Himel is also an Adjunct Faculty of Statistics and Data Science at Cornell. He develops computational methods to generate and validate testable hypotheses that accelerate data-driven discovery. Prior to Cornell, Himel was an Associate Principal Scientist (Associate Director) at Merck Research Laboratories and a postdoctoral fellow of Computational Biology and Bioinformatics at Harvard University.
Himel holds a Bachelor of Science (B.Sc.) degree in Statistics from the University of Calcutta and a Master of Science (M.Sc.) degree in Statistics from the Indian Institute of Technology (IIT) Kanpur. He earned his Ph.D. in Biostatistics from the University of Alabama at Birmingham (UAB).
As background, Himel is a Julia enthusiast, a Python explorer, and an R developer. Mostly, he develops computational methods and open-source software for the analysis of high-dimensional omics and imaging modalities with a particular emphasis on spatial, temporal, and spatiotemporal multimodal data. Himel is also an extended lab member of the bioBakery software development team at the Harvard Chan School and the Broad Institute.
A recipient of the 2022 IISA Early Career Award in Statistics and Data Sciences, Himel is a Fellow of the American Statistical Association (FASA) and an Elected Member of the International Statistical Institute.
For more information, please visit his website at himelmallick.org and feel free to get in touch on 
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I am an occasional blog writer and you can find my blog articles on my website at himelmallick.org. I am also engaged in publishing papers in peer-reviewed journals. A complete list of my publications can be found on Google Scholar.
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