Summary
Sanjib Sharma is an Associate Astronomer at the Space Telescope Science Institute with nine years of postdoctoral and research experience and a PhD in Physics/Astronomy from the University of Arizona. He develops computationally efficient Bayesian and AI-driven algorithms for large astronomical datasets, and has authored multiple publicly available software packages used by the community. A collaborative leader, he has coauthored 100+ papers, supervised two PhD students to completion, served as a working-group lead in major international collaborations, and delivered 30+ conference talks (including eight invited). Based in Baltimore after a long tenure at the University of Sydney, he combines deep statistical expertise with practical software engineering to move complex analyses into reproducible, production-ready tools. Notably, his work emphasizes scaling inference methods for big-data astronomy, bridging methodological innovation and community-facing open-source releases.
9 years of coding experience
The University of Arizona
Indian Institute of Technology Kanpur
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Presidency University, Kolkata