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Paulius Rauba works in the Machine Learning Artificial Intelligence group. His research focuses on developing new methods at the intersection of deep learning and causal inference, with a particular emphasis on medical applications. Throughout his career, he has gained extensive experience working in business, academia, and with international organizations, where he has been involved in building machine learning systems, evaluating proposals for the implementation of artificial intelligence, and advising on the development of robust AI systems.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.