Himel is a tenure-track Principal Investigator in the Department of Population Health Sciences at Cornell University, with secondary appointments in the Division of Gastroenterology & Hepatology and the Department of Statistics and Data Science. He develops computational methods to generate and validate testable hypotheses that accelerate data-driven discovery. Before Cornell, Himel was an Associate Principal Scientist (Associate Director) at Merck Research Laboratories and a postdoctoral fellow in Computational Biology and Bioinformatics at Harvard University and the Broad Institute.
As background, Himel is a Julia enthusiast, a Python explorer, and an R developer. He primarily develops computational methods and open-source software for analyzing 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.