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Shreshth Malik

PhD, started 2021

Shreshth is a DPhil student in the OATML group, supervised by Yarin Gal and Steve Roberts, and is a member of the AIMS CDT. His main research interests include improving the robustness of deep learning, causality, and AI safety/ethics, in order to enable more reliable applications of machine learning in the real world. He also enjoys applying machine learning methods to solve problems in the sciences. Previously, he has worked on understanding the challenges of using deep active learning in practice with Humanloop and David Barber, and predicting the outcomes of material syntheses with Alpha Lee. He holds Master’s degrees in Machine Learning (UCL) and Physical Natural Sciences (University of Cambridge).


Publications while at OATMLNews items mentioning Shreshth MalikReproducibility and CodeBlog Posts

Are you looking to do a PhD in machine learning? Did you do a PhD in another field and want to do a postdoc in machine learning? Would you like to visit the group?

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