I am currently the Stephen Timoshenko Distinguished Postdoctoral Fellow in the Mechanics and Computation Group at Stanford University. Earlier I completed my Ph.D. in the Aerospace and Mechanical Engineering department at USC under the supervision of Prof. Assad Oberai.
My research interest lies at the intersection of physics-based and data-driven modeling, deep learning, inverse problems, and uncertainty quantification with applications to computational science and engineering, computer vision, and medical imaging. I am particularly interested in the question of how to optimally combine physics-guided models with modern machine learning algorithms to develop more data efficient and accurate hybrid models.
PhD in Mechanical Engineering
University of Southern California
MTech in Applied Mechanics
Indian Institute of Technology, Delhi
BE in Mechanical Engineering
L. D. College of Engineering, Ahmedabad
November 2023: Our paper on Improved black-box variational inference has been accepted at Deep inverse workshop, NeurIPS 2023.
October 2023: Giving an invited talk at ACM on performing high-dimensional Bayesian inversion in a black-box setting.
October 2023: Our paper Variationally Mimetic Operator Networks (VarMiON) has been accepted for publication in CMAME.
October 2023: New pre-print on GAN-Flow.