Dr. Ying Cui

Assistant Professor

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Biography

Ying Cui is an assistant professor in the Department of Industrial Engineering and Operations Research at the University of California, Berkeley. Her research focuses on the mathematical foundations of data science, with an emphasis on optimization techniques in operations research and machine learning. She explores computational methods in large-scale semidefinite programming and stochastic programming and engages with modern nonconvex nondifferentiable optimization problems. She also works on variational analysis and matrix optimization problems. Before joining Berkeley, she served as an assistant professor in the Department of Industrial and Systems Engineering at the University of Minnesota. Her research expertise includes continuous optimization, uncertainty, statistical estimations, and applications of artificial intelligence in data-driven contexts.

Research Interests

Courses

Machine Learning Data Analytics Introduction to Optimization Modeling Special Topics in Industrial Engineering and Operations Research

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.