I am a Ph.D. student in Machine Learning theory advised by Prof. Debarghya Ghoshdastidar at the Theoretical Foundations of Artificial Intelligence group, Technical University of Munich since August 2021. My research focuses on the theory of deep learning primarily in understanding the connection of deep networks to kernel machines and in studying its adversarial robustness. Recently, I visited Dr. Cheng Soon Ong at CSIRO Australia and worked along with Dr. Russell Tsuchida on adversarial robustness of probabilistic models. Earlier, I visited Prof. Julia Kempe at New York University and focused on studying adversarial training. I am also interested in graph based learning and statistical learning theory.

Previously, I did Masters of Science in Informatics at Technical University of Munich and bachelors in Computer Science & Engineering from National Institute of Technology, Trichy, India. Between my undergraduate and graduate studies, I spent a little over 3 years at Adobe Systems, India as a Computer Scientist.

Research Interests

• Theory of deep learning and robustness of neural networks and probabilistic models
• Machine learning on graphs
• Statistical learning theory

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