Summary
Kartheik Iyer is a NASA Hubble–supported astrophysicist and Flatiron Research Fellow at CCA who builds and applies novel computational and machine learning methods to reconstruct galaxies' star formation histories from telescope data. With a decade of research experience across Columbia, Dunlap, and Rutgers, he develops widely used tools like Dense Basis and GP-SFH and co-founded UniverseTBD to broaden access to astronomy via AI. He works on large collaborative surveys (CANDELS, CEERS, CANUCS) and played a role in discovering one of the earliest Milky Way–like galaxies using JWST, highlighting his knack for turning cutting-edge data into discovery. Equally committed to open science and inclusive mentoring, he also creates researcher tools for navigating literature (pfdr.app), bridging astrophysics, statistics, and software engineering to probe stochastic star formation across scales.
9 years of coding experience
4 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Doctor of Philosophy - PhD Physics and Astronomy, Doctor of Philosophy - PhD Physics and Astronomy at Rutgers University–New Brunswick