Dr. Shuangning Li

Assistant Professor

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Biography

Shuangning Li's research focuses on causal inference, multiple hypothesis testing, selective inference, and statistical reinforcement learning. Before joining Booth, he was a postdoctoral fellow in the Department of Statistics at Harvard University. Li earned his PhD in Statistics from Stanford University and holds a Bachelor of Science degree from the University of Hong Kong. His academic areas include Econometrics and Statistics.

Research Interests

Causal Inference Multiple Hypothesis Testing Selective Inference Statistical Reinforcement Learning

Courses

Business Statistics Econometrics Statistics Colloquium

Requirements for University of Chicago Booth School of Business

Doctorate Program
Requirements
GMAT
GRE General
TOEFL
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7
Prerequisites
Undergraduate degree or equivalent
Application Checklist
  • Online application
  • Application fee ($80)
  • Transcripts from all post-secondary institutions
  • Two to four letters of recommendation
  • Resume/CV
  • Statement of Purpose (2-4 pages)
  • Optional writing sample (up to 30 pages)
  • Standardized test scores (GMAT or GRE)
Specialization Notes

The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.