Dr. Linbo Wang

Associate Professor

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Biography

Linbo Wang studied at Peking University, obtaining his Bachelor of Statistics in 2011, and later completed his PhD at the University of Washington in 2016. He is currently an Associate Professor at the University of Toronto, which he joined in 2018. His research primarily focuses on Biostatistics and Data Science, with significant contributions in areas such as Causal Modeling, Missing Data, Graphical Models, Robust Inference, and Infinite-Dimensional Models. His work often involves interdisciplinary approaches within Theoretical Statistics, aimed at addressing complex challenges in data analysis and statistical modeling.

Research Interests

Biostatistics Data Science Causal Modeling Missing Data Graphical Models Robust Inference Infinite-Dimensional Models

Experience

Associate Professor

— Present

University of Toronto • Toronto

Teaching and conducting research in the fields of Biostatistics and Data Science.

Requirements for University of Toronto

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:93
Prerequisites
Appropriate four-year bachelor's degree Background in sociological theory and statistics preferred
Application Checklist
  • Transcripts
  • Two letters of reference
  • Statement of intent
  • Writing sample
  • Curriculum Vitae
Specialization Notes

Department of Sociology