Himel is a Principal Investigator and Tenure-track Faculty at Cornell University’s Department of Population Health Sciences and an Adjunct Faculty of Statistics and Data Science at Bowers College of Computing and Information Science.

His group at Cornell develops computational methods, software, and data products to generate and validate testable hypotheses that accelerate data-driven discovery. Much of his research has focused on reverse translational efforts aiming to integrate vastly different kinds of biological data by leveraging a combination of machine learning, systems biology, and omics data science techniques to enable target identification and biomarker discovery across a range of indications.

A recipient of the IISA ECASDS award, Himel is a Fellow of the American Statistical Association (FASA) and an elected member of the International Statistical Institute (ISI).

Curriculum Vitae: CV, Resume | Researcher Profile: ResearchGate, WOS