Shan Wang

Dr. Shan Wang is the program director and associate professor of the MS in Data Science and Artificial Intelligence program at the University of San Francisco. Her research interests include medical informatics, biomedical research and utilizing data-driven methods to address social, ethical and policy problems.

• Medical informatics 
• Data and AI for health care 
• Data and AI-related ethics and policy

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

• From trial data to personalized medicine: a validated framework with an application to Crohn’s disease. Vivek A. Rudrapatna, Vignesh G. Ravindranath, Douglas V. Arneson, Arman Mosenia, Atul J. Butte, Shan Wang. Nature npj Digit. Med. 8, 327 (2025)
• Optimal strategies for adapting open-source large language models for clinical information extraction: a benchmarking study in the context of ulcerative colitis research. Richard P. Yim, Anna L. Silverman, Shan Wang, Vivek A. Rudrapatna.
• Sequential Regression and Simulation: A Method for Estimating Causal Effects from Heterogeneous Clinical Trials without a Common Control Group.  Vivek A. Rudrapatna, Vignesh G. Ravindranath, Douglas V. Arneson, Arman Mosenia, Atul J. Butte, Shan Wang. BMC Medical Research Methodology. 2023, 23(218)
• Development and Internal Validation of an Interpretable Machine Learning Model to Predict Readmissions in a United States Healthcare System.  Luo, Amanda L., Akshay Ravi, Simone Arvisais-Anhalt, Anoop N. Muniyappa, Xinran Liu, Shan Wang*. Featured Issue in Medical and Clinical Informatics. Informatics, 2023, 10 (33).