Turing AI Acceleration Fellow, The Alan Turing Institute
José Miguel is Professor of Machine Learning at the Department of Engineering in the University of Cambridge, UK. Before this, he was a postdoctoral fellow in the Harvard Intelligent Probabilistic Systems group at Harvard University, working with Ryan Adams, and a postdoctoral research associate in the Machine Learning Group at the University of Cambridge (UK), working with Zoubin Ghahramani.
Jose Miguel completed his PhD and MPhil in Computer Science at the Computer Science Department in Universidad Autónoma de Madrid, where he also obtained a BSc in Computer Science from this institution, with a special prize to the best academic record on graduation.
José Miguel’s research focuses on probabilistic machine learning, with a particular interest in deep generative models, Bayesian optimization, approximate inference, Bayesian neural networks and applications of these methods to the problem of automatic molecular design.
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