I am a Research Fellow (CommBank AI Scholar) at Australian Institute for Machine Learning, Adelaide University working with Prof. Simon Lucey. I did my doctorate in Machine Learning theory advised by Prof. Debarghya Ghoshdastidar at the Theoretical Foundations of Artificial Intelligence group, Technical University of Munich.

My research focuses on the foundations of deep learning, with an emphasis on (i) understanding what deep neural networks learn, and (ii) characterizing the robustness of their predictions to adversarial corruptions of the data. Methodologically, I draw on statistical learning theory and kernel views of deep networks to obtain tractable analyses and transferable insights. I am also interested in learning on graphs.

Before my PhD, 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

• Deep learning theory: generalization, kernel limits, gaussian processes probabilistic models
• Adversarial robustness
• Machine learning on graphs
• Statistical learning theory

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