About me
I am a Postdoctoral Researcher at the Los Alamos National Laboratory. I earned my Ph.D. in June 2023 from the IISc - Bangalore, with a significant portion of my research conducted at Purdue University as a visiting student. My PhD thesis, Hybrid Physics-Data Driven Models for the Solution of Mechanics-Based Inverse Problems, was completed under the supervision of Prof. S. Gopalakrishan and Prof. S. Dyke. Prior to my doctoral studies, I served as a Research Fellow at the IIT- Kanpur, and completed my Master’s in 2018 at the IIST - Trivandrum. More about bio/cv.
My broader research interests include solving forward, inverse and optimization of spatiotemporal dynamical systems with scientific machine learning methods. Currently, I am developing
- foundational models for physical systems.
- latent evolution models to learn forward and inverse spatiotemporal dynamics in particle accelerators.
More about my research projects is available here.
News
- March 1, 2026: Paper: Out-of-distribution transfer of PDE foundation models to material dynamics under extreme loading is accepted for ICLR2026 AI&PDE Workshop.
- Feb 27, 2026: Paper: PDE Foundation model-accelerated inverse estimation of system parameters in ICF accepted in HPAI4S workshop (IPDPS 2026).
- Sept 28, 2025: MORPH paper is released on arxiv.