Shirley Ho's research interests have ranged from using machine learning and statistics to tackle fundamental challenges in cosmology to finding new structures in our own Milky Way. Ho has broad expertise in theoretical astrophysics, observational astronomy and data science. Ho’s recent interest has been on understanding and developing novel tools in machine learning techniques, and applying them to astrophysical challenges. Her goal is to understand the universe’s beginning, evolution and its ultimate fate.
Ho works with a wonderful group of international collaborators both within the Cosmology x Data Science Group at Flatiron Institute, at Department of Astrophysical Sciences at Princeton University, and beyond.