Hi!

I’m Sangeet, a computational astrophysicist with a PhD from the University of Oregon, where I spent years building high-performance Bayesian inference tools to probe the universe’s most extreme objects: black holes and gravitational waves.

My work sits at the intersection of physics, statistics, and machine learning: from GPU-accelerated population inference on black hole merger catalogs, to clustering algorithms that make sense of deeply uncertain data. I’m fluent in Python, JAX, and the kind of math most people avoid.

Outside the lab, I document an endangered language, solve chess problems for fun, and build the occasional cellular automaton.

You can find my resume as a pdf here.