Welcome!

I am Fan Wang, a statistician and educator based in Toronto. I am a Senior Biostatistician at Tigermed, supporting Vertex Pharmaceuticals with a focus on real-world evidence studies and clinical trials. I also teach and develop courses at the University of Toronto’s Data Sciences Institute.

I received my PhD in Statistical Sciences from the University of Toronto, supervised by Lisa Strug and Lei Sun. Previously, I was a Postdoctoral Research Scientist in Biostatistics at Columbia University, working with Iuliana Ionita-Laza. My research focuses on statistical genetics, quantile regression, high-dimensional inference, and the integration of genomic data.

Research and publications →

I am passionate about helping students build confidence in statistics, develop their research ideas, and strengthen their data analysis and programming skills.

I enjoy making challenging concepts accessible through clear explanations, real data, and hands-on examples. Students are welcome to connect with me about coursework, research, and learning in statistics and data science.

Teaching

My teaching combines statistical foundations with practical computing and applications in data science and genomics.

  • Genetic Data Analysis ToolboxUniversity of Toronto · Data Sciences InstituteInstructor & Course Developer · 2025–present
  • Data VisualizationUniversity of Toronto · Data Sciences InstituteInstructor · 2026–present
  • Advanced Statistical and Computational MethodsColumbia UniversityCo-Instructor · 2025
  • Quantitative Genomics Training WorkshopColumbia UniversityLecturer · July 2025
  • Introduction to Statistics with RCapital Normal UniversityInstructor · Taught in English · 2022–2023
  • Methods for Multivariate Data · STA437University of TorontoCo-Instructor · 2016

Additional teaching and mentorship

  • Teaching Assistant, University of Toronto (2016–2019): Statistical Theory (STA255), Methods of Data Analysis I (STA302), Methods of Applied Statistics I (STA2101), Statistical Genetics (STA480), and Methods for Multivariate Data (STA437).
  • Learning Support, Data Sciences Institute, University of Toronto (2025): linear regression, classification, resampling, sampling, and visualization.
  • Research mentorship in high-dimensional signal detection, colocalization, and clinical risk prediction.

Contact

Please feel free to get in touch. When connecting on WeChat, include your name and course or research interest.