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Theo Damoulas is a Professor of Machine Learning and Statistics at the University of Warwick, with a joint appointment in the Departments of Computer Science and Statistics. He was awarded the prestigious five-year UKRI Turing AI Fellowship in 2021, leading research in Machine Learning foundations and Digital Twins. As the group leader of the Data Centric Engineering program at the Alan Turing Institute, he served as the deputy director until 2021, and has developed robust scalable approximate inference methodologies in his work. His research interests focus on probabilistic machine learning and Bayesian statistics, with an emphasis on structured forms and inductive biases. Theo joined the University of Warwick in 2015 after serving as an Assistant Professor at New York University from 2013 to 2015, and previously as a Research Associate in the Computer Science Department at Cornell University. He completed his PhD thesis on Probabilistic Multiple Kernel Learning in 2009, supervised by notable professors in the field. Theo holds a Master of Science in Informatics (Distinction) from the University of Edinburgh and a first-class MEng in Mechanical Engineering from the University of Manchester.
University of Warwick • Coventry, United Kingdom
Lead research in Machine Learning foundations and Digital Twins.
University of Warwick • Coventry, United Kingdom
Joint appointment in Computer Science and Statistics.
University of Warwick • Coventry, United Kingdom
Engaged in research and teaching in Machine Learning and Statistics.
New York University • New York City, United States
Conducted research in urban science.
Cornell University • Ithaca, United States
Worked in the Computer Science Department on various research projects.
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.