Summary
Digvijay Wadekar is an astrophysicist and ML/AI researcher with nine years of experience bridging cosmology, gravitational-wave science, galaxy formation and interpretable machine learning. Holding a PhD from NYU and a sequence of research and postdoctoral positions at institutions including the Institute for Advanced Study, Johns Hopkins, and soon UT Austin, he develops likelihood modules and data-driven methods to extract cosmological insights from surveys and simulations. His work blends theoretical rigor—constraining parameters via cluster statistics and large-scale structure—with modern ML tools to make models more transparent and robust. Based in Baltimore, he brings both deep academic pedigree and practical code-first approaches to reproducible research, maintaining an active research website and GitHub presence.
9 years of coding experience
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at New York University
Indian Institute of Technology Bombay
Nalanda Academy
English, Hindi, Marathi, French