Scholar
Yuehaw Khoo
Google Scholar ID: iGW44-4AAAAJ
University of Chicago
Citations & Impact
Citations
1,427
H-index
16
i10-index
23
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published multiple preprints and journal articles covering topics ranging from optimization-free diffusion models to generative modeling, including publications in the Journal of Machine Learning Research and the Journal of Computational Physics.
Research Experience
- Gained extensive research experience while pursuing a Ph.D. at Princeton University and as a postdoctoral fellow at Stanford University. Research areas include scientific applications of convex optimization, neural networks, tensor networks, and computational structural biology problems from NMR spectroscopy and Cryo-EM data.
Education
- Ph.D. in Physics from Princeton University (2016), B.Sc. in Physics from the University of Virginia (2009). Advised by Amit Singer for Ph.D. (2012-2016), mentored by Lexing Ying at Stanford during post-doc (2016-2019), and supervised by Phuan Ong at Princeton for master's thesis (2010-2012).
Background
- An assistant professor at the Department of Statistics, University of Chicago, and a member of the Committee on Computational and Applied Mathematics (CCAM). Interested in computational problems in structural biology and quantum many-body physics.
Co-authors