PhD, 4th year, University of Oxford, The Alan Turing Institute
Prateek is a Ph.D. student at the University of Oxford, sponsored by The Alan Turing Institute, and co-supervised by Pawan Kumar, Andrea Lodi and Yoshua Bengio. He is affiliated with the Montréal Institute of Learning Algorithms (Mila) in Canada, where he spent time during his doctorate studies. His research area primarily focuses on using deep learning techniques to improve combinatorial optimisation and address social issues such as effective pandemic management and the lack of international cooperation on climate change objectives.
Prateek is also interested in developing AI methods for agent-based models (ABM) to better understand and solve societal problems. Prateek led a multidisciplinary team of epidemiologists and economists to develop the Proactive Contact Tracing framework, which addressed the limitations of the simple quarantine-or-not contact tracing frameworks. The work has been published in ICLR 2021 and PLOS Digital Health and received the second runner-up award in Doctoral Researcher Award 2021.
Prateek co-organised the AI for Global Climate Cooperation Challenge, which has been shortlisted in the top 10 most innovative projects of 2022 by Netexplo Observatory. He has delivered numerous invited talks on his research using deep learning techniques for combinatorial optimisation.
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