top of page


Shirley Ho is an American astrophysicist and machine learning expert, currently Group Leader at Simons Foundation and a Professor at New York University, with a visiting appointment at Princeton University.  

Shirley Ho has led the first application of deep 3D convolutional neural networks in astrophysics and has since pushed forward the adoption of modern deep learning methods in the astrophysics community. More recently, Shirley Ho has concentrated her efforts on creating foundation models for science and developing novel techniques in interpretable machine learning. 

Shirley Ho won several prizes for her significant contributions to the fields of astrophysics and AI. The list includes National Blavatnik Award Finalist, European Physical Society Giuseppe and Vanna Cocconi Prize in cosmology, NASA Group Achievement Award, 

Macronix Prize, Carnegie Science Award. She was also elected as a Fellow of the International Astrostatistics Association in 2020. 

She always tries to balance between Machine learning, the Universe, and life, and almost always fails to do so.

Latest Publications

The Stars, the Universe and everything else in between

Check out our latest publication from my group here

Accelerating the Simulation of our Universe with Artificial Intelligence 


I am lucky to have had amazing students, postdocs, and collaborators throughout my career. I don't know where I would be if I have not met them. Literally.


Shirley Ho

For students/postdocs who are interested to intern/research with me, please email me at 

For researchers interested in Polymathic AI , we usually announce our opportunities on our Twitter page,  but feel free to reach out as well! 

For students who likes to work with me towards a PhD, please consider applying at NYU Department of Physics or Center for Data Science, or at Princeton University's Department of Astrophysical Sciences. 

  • Twitter
  • LinkedIn
bottom of page