I'm a first year Ph.D student at École polytechnique fédérale de Lausanne working on theory of deep learning, statistical physics of computation, and optimization under the supervision of Prof. Lenka Zdeborová and Prof. Florent Krzakala . I am also a part of the ELLIS Ph.D program, with Prof. Lenka Zdeborová at EPFL as my main supervisor and Prof. Bernhard Schölkopf at MPI-IS Tübingen as my secondary (host) supervisor. Broadly, I'm interested in rigorous analysis of the asymptotics of systems involving a large number of interacting entities, especially those involving dynamics or aspects related to computational hardness. This spans a wide range of problems from graph coloring to deep neural networks.
During the summer of 2022, I was an intern under Prof. Simon Lacoste-Julien and Prof. Yoshua Bengio at the Montreal Institute for Learning Algorithms, where I worked on the design and analysis of Optimization, Sampling, and Trajectory Inference algorithms. Previously, I obtained a dual-degree (Btech-MTech) in Computer Science, working under the supervision of Prof. Martin Jaggi at the MLO lab, EPFL and Prof. Piyush Rai at IIT Kanpur, India.
During my time at IIT Kanpur and EPFL, I've had the fortune of working under an amazing set of supervisors, mentors, and collaborators (in no particular order): David Gamarnik at MIT, Martin Jaggi and multiple members of the MLO lab, Piyush Rai, Abhishek Kumar, Vinay Namboodiri , Arnout Devos (PhD student under Prof. Matthias Grossglauser), and Arthur Jacot (Phd student under Prof. Clement Hongler). I also maintain an interest in theoretical physics, theoretical computer science, and causality. An upto-date list of my publications and preprints can be found at my Google Scholar page: https://scholar.google.com/citations?user=UiEzYkMAAAAJ&hl=en BTech-Mtech (Dual Degree) in Computer Science and Engineering, 2017 Indian Institute of Technology, KanpurInterests
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