Shirley Ho

Ho researches cosmology, deep learning and its applications in astrophysics and data science.^[8] In particular, she is interested in developing and deploying deep learning to better understand the Universe, and other astrophysical phenomena.^[9]

She has contributed to several areas of astrophysics: cosmic microwave background,^[10] cosmological models, dark energy, dark matter,^[11][12] spatial distribution of galaxies and quasars,^[13] Baryon Acoustic Oscillations,^[14][15] and cosmological simulations.^[16]

Regarding deep learning and its and applications to cosmology and astrophysics.,^[17][18][19] Ho's team participated in the development of accelerated astrophysical simulations.^[20] She contributes to the development and deployment of deep-learning-accelerated simulation-based inference framework for large spectroscopic surveys,^[21] and further accelerated physical simulations ranging from fluid dynamics to planetary dynamics simulations.^[22][23][24] Her current team at the Flatiron Institute and Princeton University combines symbolic regression and neural networks to recover physical laws directly from observations, demonstrating symbolic regression as an example of good inductive bias for interpretable machine learning for science.^[25][26][27]

More recently, Ho has led a team of researchers at Polymathic AI to create foundation models for sciences, most notably releasing large datasets and foundation models in astrophysics and fluid dynamics.^[28][29][30]

Ho has won several prizes for her contributions, including:

• NASA Group Achievement Award for contribution to the Planck mission (2011) and Nancy Grace Roman Space Telescope (2022)^{[31][citation needed]}
• Macronix Prize (2014): The Outstanding Young Researcher Award by International Organization of Chinese Physicists and Astronomers^[32][33]
• Carnegie Science Award (2015),^[34] assigned for outstanding science and technology achievements in western Pennsylvania
• Finalist for the Blavatnik Awards for Young Scientists (2023)^[3]
• Schmidt Sciences AI2050 Senior Fellow Award (2025)^[35]