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Aly Khan is an Assistant Professor in the Department of Family Medicine at the University of Chicago. His research focuses on the development of novel computational methods to understand complex interactions between immune cells, the environment, and the microbiome, aiming to uncover clinically relevant insights that pave the way for new diagnostics and therapies to improve human health. His academic work includes studying computational biology, genomics, machine learning, precision medicine, and systems immunology. He is involved in various innovative projects, including improving diagnosis for non-melanoma skin cancer in resource-limited settings and investigating the contribution of rare variants to coronary artery disease. Khan has published a number of significant papers in notable journals, contributing to the understanding of disease mechanisms and potential therapeutic avenues.
University of Chicago • Chicago, IL
Teaching and conducting research in the field of family medicine and computational biology.
Department of Philosophy