Welcome!

I am Fan Wang, a Senior Biostatistician supporting clinical research at Vertex Pharmaceuticals, with a focus on real-world evidence studies and clinical trials. I earned my PhD in Statistical Sciences from the University of Toronto, followed by three years as a Postdoctoral Research Scientist in Biostatistics at Columbia University. My research focuses on statistical genetics, clinical trials, high-dimensional inference, and large-scale biomedical studies.

Having worked in both academia and industry, I understand the opportunities and challenges of pursuing different career paths. I enjoy sharing what I've learned along the way and connecting with students who are exploring their own academic and professional interests. Whether you have questions about coursework, research, career paths, or what comes next, feel free to reach out. I'm always happy to connect and exchange ideas!

Research and publications →

Teaching

My teaching integrates statistical foundations with practical computing and real-world applications in data science, biostatistics, 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.