I am a computational materials scientist trained at the intersection of atomistic simulation, artificial intelligence, and high-performance computing. I completed my Ph.D. in Data Science and Engineering through the Bredesen Center at the University of Tennessee, with my doctoral research conducted at Oak Ridge National Laboratory. I hold a Master of Science in Mechanical Engineering from the University of Texas at Arlington (2019) and a Bachelor of Engineering in Mechanical Engineering from Savitribai Phule Pune University, Pune (2016).

My research spans computational materials science and AI4Science, with a focus on understanding and controlling defect-, interface-, and field-driven nanoscale behavior in functional materials relevant to next-generation memory, energy, and neuromorphic devices. I work across materials classes including ferroelectric oxides, polymers, 2D materials, and heterogeneous interfaces. My approach integrates large-scale molecular dynamics with machine learning, deep learning, and autonomous workflows to enable simulation-driven discovery, with particular interest in inverse design under uncertainty and the mechanistic interpretability of scientific machine learning models.

On the job market: I am actively seeking research positions in computational materials science and AI4Science. Please feel free to reach out regarding potential opportunities.