I am a Postdoctoral Researcher at Los Alamos National Laboratory. In 2023, I earned my Ph.D. from the Indian Institute of Science (IISc), with a significant portion of my research conducted at Purdue University as a visiting student. My Ph.D. thesis focused on hybrid models for inverse problems, under the guidance of Prof. S. Gopalakrishan and Prof. S. Dyke. Prior to my doctoral studies, I was a Research Fellow at the Indian Institute of Technology (IIT) Kanpur and completed my Master’s in 2018 at the Indian Institute of Space Science and Technology (IIST).

My primary research interests lie in generative models, uncertainty quantification, and interpretability. I apply novel scientific machine learning methods to solve problems in/related to (a) general partial differential equations (PDEs), (b) structural health monitoring, (c) material properties estimation, (d) beam dynamics in particle accelerators, (e) plasma physics, (f) safety and resilience, cyber-physical testing of smart habitats, and (g) robotics for inspection.

Outside of research, I maintain an active lifestyle through football, cricket, strength training, and running. These activities help me stay physically fit and mentally focused, providing a healthy balance to the demands of my academic work. I also enjoy spending time with colleagues beyond work.

To know more, please visit mahindrautela@github.io.