Shirley Ho joined the foundation in 2018 as leader of the Cosmology X Data Science group at CCA. Her research interests have ranged from fundamental cosmological measurements to exoplanet statistics to using machine learning to estimate how much dark matter is in the universe.
Ho has broad expertise in theory, observation and data science. Ho’s recent interest has been on understanding and developing novel tools in statistics and machine learning techniques, and applying them to astrophysical challenges. Her goal is to understand the universe’s beginning, evolution and its ultimate fate.
In her bidding to understand our Universe, Ho plans, builds and analyzes data from a number of astronomical surveys such as Actacama Cosmology Telescope, Euclid, the Rubin Observatory, Simons Observatory, Sloan Digital Sky Survey and the Roman Space Telescope.
Ho earned her Ph.D. in astrophysical sciences from Princeton University in 2008 and her bachelor’s degrees in computer science and physics from the University of California, Berkeley in 2004. She was a Chamberlain fellow and a Seaborg fellow at Lawrence Berkeley National Laboratory before joining Carnegie Mellon University in 2011 as an assistant professor. She became the Cooper Siegel Career Development Chair Professor and was appointed associate professor with tenure in 2016. She moved to Lawrence Berkeley Lab as a Senior Scientist in 2016.
Since 2011, she has been a primary mentor to more than 35 postdoctoral fellows, 10 graduate students and 20 undergraduates in the fields of astrophysics, computer science and statistics. She has received several awards including NASA Group Achievement Award, Macronix Prize and Carnegie Science Award. She is also elected a Fellow by the International Astrostatistics Association.