Hassan Samee is an Assistant Professor in the Department of Integrative Physiology at Baylor College of Medicine. He received his Ph.D. in computer science from the University of Illinois at Urbana Champaign in 2015. He then worked as a Bioinformatics Fellow with Dr. Katherine Pollard at the Gladstone Institutes (University of California San Francisco). In his PhD and postdoctoral works, Hassan developed biophysical models to predict the effects of non-coding variants in the human genome. Hassan has broadened his research portfolio after starting his lab at BCM in 2019. Besides working on genetic variants, he is actively developing machine learning models for single-cell and spatial transcriptomics data. His lab applies these models in a variety of contexts to elucidate the transcriptional mechanisms underlying disease onset and progression. The overarching goal of Hassan’s lab is to explain how genetic variants can lead to pathological outcomes by impacting the function of individual cells and their spatial microenvironment.