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Aly Azeem Khan is an Assistant Professor at the University of Chicago, specializing in computational immunology. His research focuses on developing quantitative models to understand human immune responses and interactions within complex biological systems. He obtained his Ph.D. in computational biology from a joint program with Memorial Sloan Kettering Cancer Center, where he studied under renowned advisors. After completing his Ph.D., he joined the Toyota Technological Institute as a research faculty member, where he pioneered advancements in computational methods for immunology. Since joining the University of Chicago's Department of Pathology and later the Department of Family Medicine, he has led significant projects aimed at integrating validated biological insights with computational frameworks to address clinically impactful problems. His work is supported by prestigious awards including the NIH New Innovator Award, among others. Dr. Khan's research addresses a wide range of topics, including machine learning applications in immunology, epigenetics, and the analysis of immune cell interactions.
University of Chicago • Chicago, IL
Conducting research and teaching in computational immunology, developing predictive models of immune responses.
Department of Philosophy