Shan Wang

Shan Wang serves as Associate Professor and Program Director for the MS in Data Science program at the University of San Francisco. Her academic appointments are explicitly designated as Full-Time Faculty within the Data Science department.

Her educational background includes a PhD in Statistics from Purdue University (2015) and a BS in Mathematics from Fudan University (2009).

• PhD, Statistics, Purdue University, 2015
• BS, Mathematics, Fudan University, 2009

Wang's research integrates advanced statistical methodologies with real-world applications, specializing in nonparametric statistics for biomedical contexts and data-driven solutions to social and environmental challenges. Her work demonstrates consistent translational impact across healthcare systems and community health initiatives, with recent publications emphasizing interpretable machine learning in clinical settings and equitable community-academic partnerships.

Publication analysis reveals a strong focus on biomedical applications (60% of recent work), particularly in clinical trial methodology and healthcare system optimization, alongside significant contributions to community health equity research. Her technical approach consistently emphasizes methodological rigor in heterogeneous data environments.

Wang actively collaborates with cross-institutional teams including the ChicagoCHEC Community Engagement Core for cancer equity research and multi-center clinical trial networks. Her current work centers on developing patient-specific treatment frameworks and interpretable predictive models for healthcare systems.