Suchetha Cooray

Astrophysicist at KIPAC, Stanford University

I study the Universe by combining simulations with observations to understand the physics behind galaxy formation and evolution. Using numerical simulations and machine learning, I model how galaxy populations appear in observations, exploring a wide range of galaxy formation scenarios. This approach reveals insights into everything from the birth of young galaxies to the growth of massive galaxies and their dark matter halos.

I earned my doctorate at Nagoya University, where I investigated how unsupervised machine learning techniques can deepen our understanding of galaxy evolution. Before this, my research focused on solving inverse problems in astrophysics, particularly within the context of imaging surveys and Faraday tomography.

My CV is here.