Dr. Yuehaw Khoo

Assistant Professor

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Biography

Yuehaw Khoo works on developing computational data-driven techniques for problems in biological and physical sciences. In particular, he develops methods for many-body physics, protein structure determination, and techniques based on NMR spectroscopy and Cryo-EM. His research interests include convex and non-convex optimization, as well as neural-network and tensor-network methods. His contributions to the field have been recognized, as he was awarded the prestigious Sloan Fellowship in 2024.

Research Interests

Computational Data-Driven Techniques Biological Sciences Physical Sciences Many-Body Physics Protein Structure Determination NMR Spectroscopy Cryo-EM Convex Optimization Non-Convex Optimization Neural-Network Methods Tensor-Network Methods

Experience

Assistant Professor

— Present

University of Chicago • Chicago, IL

Teaches and conducts research in the Department of Statistics and the College Committee on Computational and Applied Mathematics (CCAM).

Requirements for University of Chicago

Doctorate Program
Requirements
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:104
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7
Prerequisites
Bachelor's degree Writing sample Candidate statement
Application Checklist
  • Candidate Statement
  • Transcripts
  • Letters of Recommendation (3)
  • Writing Sample
  • Application Fee
Specialization Notes

Department of Philosophy