Shirley Ho

Shirley Ho is an Adjunct Professor in the Department of Physics at Carnegie Mellon University. Her research focuses on Astrophysics & Cosmology, with an emphasis on understanding the dark components of the Universe and its origins. She is affiliated with the Lawrence Berkeley National Laboratory and is a member of the Sloan Digital Sky Survey III and the Planck HFI and LFI teams. Ho utilizes techniques such as Baryon Acoustic Oscillations and the Integrated Sachs Wolfe Effect to study dark energy and the matter content of the Universe. She also employs high-performance computing facilities at the McWilliams Center for Cosmology for large-scale clustering analysis. Her work includes collaborations on various publications in leading astrophysical journals.

Shirley Ho is a researcher in cosmology, astrophysics, machine learning, and statistics. Her work focuses on analyzing large-scale cosmic structures and leveraging machine learning techniques to interpret astronomical data. She has contributed to major surveys such as the Sloan Digital Sky Survey (SDSS) and the Baryon Oscillation Spectroscopic Survey (BOSS), analyzing galaxy clustering and baryon acoustic oscillations to constrain cosmological parameters. Her research also explores the integration of artificial intelligence in scientific discovery, particularly in cosmology. Ho's publications include studies on Planck satellite data, the Simons Observatory, and the cosmological implications of large-scale structure observations.