I work on interacting quantum many-body systems and statistical mechanics, with an emphasis on computational and semi-analytical approaches to strongly correlated physics. My research focuses on the structure and dynamics of many-body states in regimes where conventional analytic control is limited and where large measurement ensembles or high-dimensional data naturally arise. A particular area of interest is the fractional quantum Hall effect, where controlled analytical and computational methods can be used to model, understand, and predict experimentally relevant systems.

A central aspect of my recent work has been the use of statistical inference and machine-learning–inspired methods as tools for many-body physics rather than as ends in themselves. From a statistical-mechanical perspective, this includes algorithmic frameworks for reconstructing quantum states and observables from incomplete or noisy data, characterizing distributions of measurement outcomes, and identifying emergent structure in complex quantum dynamics. I am especially interested in how these ideas interface with modern quantum platforms, including measurement-driven protocols and computational schemes motivated by near-term quantum devices.

I am a faculty member in the Department of Physics at the Indian Institute of Science Education and Research, Pune. I previously held postdoctoral research positions at the Max Planck Institute for the Physics of Complex Systems and the Nordic Institute for Theoretical Physics. I received my PhD in Physics from Pennsylvania State University and completed my undergraduate studies at the Indian Institute of Technology Madras.