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Vagheesh Narasimhan is an Assistant Professor in the Departments of Integrative Biology and Statistics at the University of Texas at Austin. He completed his undergraduate degree in Electrical Engineering, focusing on computer vision and information theory. Narasimhan earned his Master's degree in Biostatistics from Harvard University and received his Ph.D. in Genetics from the University of Cambridge, where he was advised by Richard Durbin and Chris Tyler-Smith. He has also held a postdoctoral fellowship in the Department of Genetics at Harvard Medical School, working under David Reich and Nick Patterson. His research interests lie at the intersection of genomics, computer science, and statistics, with a focus on big data, machine learning, health promotion, and computational medicine. Narasimhan has contributed significantly to the field of computational biology, evolutionary biology, genomics, and genetics, with a particular emphasis on understanding human population genetics and ancient DNA studies. His work has been recognized as exceptional within the academic community, earning accolades such as the research excellence paper of the year award at UT Austin. Narasimhan's ongoing research aims to address complex biological questions using advanced statistical methods and computational approaches.
University of Texas at Austin • Austin, TX
Teaching and conducting research in the Departments of Integrative Biology and Statistics.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.