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Navish Kumar is a PhD student in the Department of Mathematics and Computer Science at the University of Basel, where he is part of the Optimization Machine Learning Systems Group (OMLS). He began his PhD in fall 2022, under the supervision of Professor Aurelien Lucchi and advisor Professor Volker Roth. His current research focuses on Bayesian Inference in Machine Learning, with a particular emphasis on establishing theoretical guarantees for variational algorithms. Kumar's broader research goal is to explore the impact of noise in machine learning, aiming to design algorithms that are aware of noise geometry, ultimately enhancing generalization in practical applications. His key areas of interest include mathematics for data science, spectral graph theory, and Riemannian optimization.
The University of Basel generally requires C1 level proficiency in the language of instruction. For most English-taught Masters, TOEFL (min 92-95) or IELTS (min 7.0) is the standard.