Dr. Kaizheng Wang

Assistant Professor

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Biography

Kaizheng Wang works at the intersection of optimization, machine learning, and statistics. He develops and studies scalable algorithms for analyzing massive data that is unstructured, incomplete, and heterogeneous. His methods have wide applications in revenue management, signal processing, and distributed computing. Wang received his PhD in Operations Research and Financial Engineering from Princeton University in 2020 and his BS in Mathematics from Peking University in 2015.

Research Interests

Data Analytics Decision Analysis Optimization Risk Management Stochastic Modeling Simulation Business Analytics Large-scale Optimization

Awards

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Paper Prize

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Place Award

Requirements for Columbia University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:100
IELTS
Overall
Required:7.5
Prerequisites
Bachelor's degree or international equivalent
Application Checklist
  • Online application
  • Transcripts
  • Statement of Academic Purpose
  • Personal Statement
  • Three letters of recommendation
  • CV or Resume
  • Application fee
Specialization Notes

Department of Anthropology (GSAS)