Siddharth Mishra-Sharma
Hi! I’m currently an IAIFI Fellow at the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), affiliated with the Center for Theoretical Physics at MIT and the Department of Physics at Harvard.
My pronouns are he/him.
Contact: I can be reached via email. I am happy to chat with students at IAIFI and the Boston area about potential projects.
CV: A copy of my CV may be found here.
Research Interests: My work uses probabilistic machine learning – combining deep learning, generative modeling, differentiable programming, and statistics – to accelerate searches for fundamental physics using astrophysical and cosmological data at all observable scales. I am broadly interested in the application and development of AI techniques to a wide range of problems in the physical sciences.
Papers, Code, and Tutorials:
- Papers can be found on Google Scholar or ADS.
- Code associated with all of my projects may be found on GitHub.
- Tutorials on simulation-based inference, deep probabilistic programming, and self-supervised & multimodal machine learning.
- Slides for lectures on generative modeling at the IAIFI Summer School 2023.
- A curated list of resources and papers on neural simulation-based inference.
Previously: Prior to MIT/IAIFI I was a postdoc at NYU’s Center for Cosmology and Particle Physics from 2018-2021. I obtained my Ph.D. in Physics from Princeton University in 2018, working under the supervision of Mariangela Lisanti with my dissertation focusing on astrophysical searches for dark matter. Along the way, I’ve been fortunate to have worked on experimental particle physics early on in graduate school and as a Summer Student at CERN. I completed my undergraduate studies at Peterhouse, University of Cambridge in the UK where I read the Natural Sciences (Parts I and II) and Mathematics (Part III) Triposes. I grew up in Moscow, Russia.
Misc.: I enjoy road cycling and hanging out with my cat, Toph.