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Michael Boemo is an Assistant Professor specializing in the intersection of artificial intelligence and disease at the University of Cambridge. His research focuses on the application of AI technologies to understand genetic disorders and improve disease diagnostics. He is affiliated with both the Department of Pathology and the Department of Genetics, where he contributes to a multidisciplinary approach towards solving complex biological problems. Through his work, he aims to leverage machine learning techniques to analyze genetic data, providing insights that could lead to advancements in medical treatments. Boemo has published multiple studies in esteemed journals, emphasizing the need for integrating computational methods in genetic research. He is passionate about educating the next generation of scientists in this rapidly evolving field, aiming to bridge the gap between machine learning and genetics.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.