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Nicholas Teh is a Postdoctoral Research Associate in the Department of Computer Science at the University of Oxford, where he is advised by Paul Goldberg. His research focuses on Algorithms and Complexity Theory, specifically pertaining to computational social choice, algorithmic game theory, and computational economics. Teh's academic journey includes completing a DPhil in Computer Science at Oxford from 2021 to 2025 under the supervision of Edith Elkind. His work has been supported by the UK Advanced Research and Invention Agency through the Safeguarded AI programme. Teh has contributed to prominent publications in the field, including presentations at the International Joint Conference on Artificial Intelligence and the AAAI Conference on Artificial Intelligence. His research aims to explore advancements in voting systems and allocation methods, demonstrating a commitment to understanding the complexities and efficiencies in algorithmic processes. Teh's contributions and ongoing research position him as a significant figure in addressing pressing problems in AI and computation.
Department of Politics and International Relations - Higher Level English requirement.