Present: Postdoctoral Fellow, Machine Learning Lab, Department of Computer Science and Automation at the Indian Institute of Science in Bangalore. 

Past: I finished my doctoral studies in physics at the University of Arizona, where I worked on developing a theory of thermodynamic measurements for nonequilibrium quantum systems. My thesis won the Springer Theses Award and you can read more about it here. My first postdoctoral fellowship was in the Department of Chemistry at the University of Toronto. We worked with experimentalists at the Weizmann Institute to understand 1/f noise ("flicker" noise) in single-molecular junctions. 

Presently I am interested in problems at the interface of physics and machine learning. The two broad themes I am exploring are quantum kernel methods and learning algorithms for models defined using density operators (e.g. quantum Boltzmann machines). This is a fertile ground for research and the approaches differ greatly from ML models which use parametrized quantum circuits (which is most of "quantum machine learning").

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