Siddharth Mishra-Sharma

Siddharth Mishra-Sharma is an Assistant Professor in the Faculty of Computing & Data Science (CDS) at Boston University. Siddharth works bidirectionally at the intersection of AI and physics, with a focus on applications that contribute to fundamental physics discovery. To that end, Siddharth's research examines how AI can be utilized to optimize the utilization of complex datasets from current and future experiments in cosmology, astrophysics, and particle physics across diverse modalities, scales, and physical systems. At the same time, Siddharth uses data from physics as a sandbox for methodological developments with broad applicability in the natural sciences, particularly focusing on neural approaches to simulation-based inference, scalable generative modeling, probabilistic/differentiable programming, and symmetry-preserving data processing. In his research, Siddharth investigates both (1) data-driven approaches that leverage scale and (2) physics-informed methods that incorporate mechanistic understanding and inductive biases, while also exploring the interplay between these paradigms.

Prior to joining CDS, Siddharth was an IAIFI Fellow at the NSF AI Institute for Artificial Intelligence and Fundamental Interactions at MIT and Harvard (2018-2021). Before that, he was a postdoc at NYU’s Center for Cosmology and Particle Physics (2018-2021). He obtained his Ph.D. in Physics from Princeton University in 2018. Siddharth completed his undergraduate studies at Peterhouse, University of Cambridge, where he read the Natural Sciences (Parts I and II) and Mathematics (Part III) Triposes.