Dr. Sherry Wang

Assistant Professor

Pharmacy, School of Pharmacy

Office Location: 9401 206

Phone: 714-516-5487

Email: yunwang@chapman.edu

Scholarly Works:: Google Scholar

Education:: China Pharmaceutical University, Bachelor of Science
University of Hong Kong, Master of Philosophy
The Chinese University of Hong Kong, Ph.D.

Biography

Dr. Sherry Yun Wang, Ph.D., MPhil, BSc, is a tenure-track Assistant Professor at Chapman University School of Pharmacy (CUSP), where she leads research initiatives at the intersection of healthcare AI, pharmacoepidemiology, and real-world evidence generation. Her interdisciplinary research program integrates machine learning, epidemiology, health services research, geospatial analytics, clinical pharmacy, and health economics to improve healthcare delivery, treatment access, and population health outcomes.

Dr. Wang’s work focuses on developing trustworthy and interpretable healthcare AI systems using large-scale real-world data, including administrative claims, electronic health records, prescription drug monitoring program (PDMP) data, pharmacovigilance systems, and geospatial health datasets. Her research addresses critical healthcare challenges related to opioid use disorder, cardiometabolic diseases, chronic disease management, behavioral health, aging populations, and healthcare disparities. More recently, her work has expanded into ethical AI, algorithmic transparency, causal learning, and bias assessment in machine learning systems used in healthcare decision-making.

With international academic and research experience across China, Hong Kong, Australia, the United Kingdom, and the United States, Dr. Wang brings a uniquely global perspective to healthcare systems research and translational AI applications. Prior to joining Chapman University, she completed postdoctoral training in geospatial epidemiology at Washington University in St. Louis School of Medicine and held research positions at Monash University and University College London.

Her scholarly work has been published in leading journals including JAMA, The Lancet, Clinical Infectious Diseases, npj Digital Medicine, BMC Medicine, Neuroepidemiology, Drug and Alcohol Dependence, Pain Reports, and International Journal of Cardiology. Dr. Wang’s research has received support from the National Institutes of Health (NIH) AIM-AHEAD program, the McGovern Foundation’s McGovern Training Program in Trusted AI, the American Association of Colleges of Pharmacy (AACP).

Dr. Wang was named the 2025 North America “AI Researcher of the Year” by the Women in AI organization for her work in trustworthy healthcare AI, algorithmic transparency, and ethical AI applications in medicine. In 2026, she also received Chapman University’s Teaching and Mentoring Award for her innovative and student-centered approach to higher education. She was additionally recognized as Teacher of the Year by both the Chapman University School of Pharmacy Class of 2026 and Class of 2027.

Beyond research, Dr. Wang is deeply committed to mentorship and interdisciplinary education. She teaches courses in research design, pharmacoepidemiology, pharmacoeconomics, and Practical Use of AI in Pharmacy, while mentoring PharmD students, Ph.D. trainees, undergraduate researchers, visiting scholars, and high school students. Her mentees have received major institutional honors, including the James L. Doti Outstanding Graduate Student Award at Chapman University.

Recent Creative, Scholarly Work and Publications: Sherry Yun Wang, Tao Hu, Chih-Hung Chang, Matthew Heshmatipour, Jeff Jianfei Guo, Moom R. Roosan, and Karen A. Miotto. "Assessing buprenorphine treatment utilization and SAMHSA DATA waiver provider distribution in 2021: a real-world analysis in California." Scientific Reports 15, no. 1 (2025): 29168.; Sherry Yun Wang, Ryan Stofer, Hao Wang, Gregory A. Brent, Lu Shi, Yu Cai, Moom Roosan, and Tannaz Moin. "Bridging Efficacy and Adherence in Glucagon-Like Peptide-1 Receptor Agonist Therapy: The Emerging Role of Oral Agents." Diabetes & Metabolism Journal 49, no. 6 (2025): 1331.; Wang, Sherry Yun, Zhouzhou Chu, Ang Li, Daniel Umoru, Ariel Tran, Bowei Tian, Peihao Dou, and Tannaz Moin. "Real-World Safety Signals of Tirzepatide Versus GLP-1RAs: A Machine Learning Analysis of FDA FAERS Data." (2026).; Stofer, Ryan, Peter T. Lim, Elena Wu, Qingyang Yu, Timothy Lanthier, Ryan Jewik, Lu Shi, Usha Sambamoorthi, Hao Wang, and Sherry Yun Wang. "HSD43 Addressing Neighborhood-Level Opioid Data Gaps: Development of an Interactive Dashboard for Prescription Trends and Buprenorphine Access in California." Value in Health 28, no. 6 (2025): S232-S233.; Sherry Yun Wang, Ryan Stofer, Zhouzhou Chu et al. Algorithmic Opacity in Opioid Risk Scoring and the Need for Transparent AI Regulation, 19 January 2026, PREPRINT (Version 2) available at Research Square [https://doi.org/10.21203/rs.3.rs-7368491/v2]; Pegah Ahadian, Wei Xu, Sherry Wang, Qiang Guan, "Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations" accepted at IEEE Workshop on Trustworthy Machine Learning for Healthcare (TrustML4Health'24), Held in conjunction with IEEE BigData 2024 Dec 15-18, 2024, Washington D.C., USA; Wang, Yun, Hao Wang, Drake Watson, Kabir Snell Jose, Ryan Stofer, Quinton Ding Quan Ng, Chih-Hung Chang, Karen A. Miotto, Matthew Heshmatipour, and Alexandre Chan. "Change of opioid prescribing before and after the COVID pandemic in California, 2017-2022." (2024).; Wang, Yun, Drake Waston, Hao Wang, Karen A. Miotto, Kabir Snell Jose, Tyler J. Varisco, and Usha Sambamoorthi. "Measurement Bias in Machine Learning-Enhanced Opioid Risk Scoring Systems." (2024).; Chen, J., Wang, Y., Zeb, A., Suzauddola, M. D., Wen, Y., & Alzheimer’s Disease Neuroimaging Initiative. (2025). Multimodal mixing convolutional neural network and transformer for Alzheimer’s disease recognition. Expert Systems with Applications, 259, 125321.; Adekunle, O. A., Wang, Y. S., Yunusa, I., Fleming, M. L., Seoane-Vazquez, E., & Brown, L. M. (2024). Predisposing, Enabling, and Need Factors Influencing Health-related Quality of Life Among People with Metabolic Syndrome. Journal of the American Pharmacists Association, 102255.; Heshmatipour, M., Ng, D. Q., Truong, E. Y. W., Zheng, J., Chan, A., & Wang, Y. (2024). Impact of COVID-19 Pandemic on Emergency Department Visits for Opioid Use Disorder Across University of California Health Centers. Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health.; Ng, D. Q., Lee, S., Lee, R. T., Wang, Y., & Chan, A. (2024). Real-world impact of acupuncture on analgesics and healthcare resource utilization in breast cancer survivors with pain. BMC medicine, 22(1), 394.; Adekunle, O. A., Schommer, J. C., Wang, Y. S., Yunusa, I., Fleming, M. L., Seoane-Vazquez, E., & Brown, L. M. (2024). Perceptions of metabolic syndrome management utilization in relation to patient experience and health-related quality of life. Exploratory Research in Clinical and Social Pharmacy, 100457.; Adekunle, O., Fleming, M., Schommer, J. C., Wang, Y., Yunusa, I., Seoane-Vazquez, E., & Brown, L. M. (2024). PCR93 Assessment of Prior Experience With Pharmacists and Perceptions of Pharmacists’ Education and Training on Metabolic Syndrome (MetS) Patients’ Willingness to Accept Pharmacist-Provided Services. Value in Health, 27(6), S313.; Adekunle, O., Wang, Y., Yunusa, I., Fleming, M., Seoane-Vazquez, E., & Brown, L. M. (2024). EE280 Price Trends and Analysis of Targeted Immunomodulatory (TIM) Disease-Modifying Antirheumatic Drugs for Rheumatoid Arthritis Therapy. Value in Health, 27(6), S109.; Wang, Y., Snell, J. K., Watson, D., Wen, Y., Varisco, T., & Sambamoorthi, U. (2024). RWD34 Examining Bias in the Narxcare Score: Unveiling Disparities in AI/ML Features for Opioid Prescribing Decisions. Value in Health, 27(6), S363.; Zheng, J., Rakovski, C., Varisco, T., Chen, H., Fleming, M., & Wang, Y. (2023). EPH198 The Sustained Impact of COVID-19 on Opioid Dispensing in California. Value in Health, 26(6), S200.; Wang, Y., Zheng, J., Lam, J., & Gutierrez, M. (2023). EPH251 Neighborhood Characteristics of Availability of Buprenorphine-Prescribing Clinicians and X-Waivered Clinicians. Value in Health, 26(6), S208.; Lu, H., Zheng, J., & Wang, Y. (2023, June). Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study. In Healthcare (Vol. 11, No. 12, p. 1732). MDPI.; Wang, Y., Zheng, J., Schneberk, T., Ke, Y., Chan, A., Hu, T., ... & Nichol, M. B. (2023). What quantifies good primary care in the United States? A review of algorithms and metrics using real-world data. BMC Primary Care, 24(1), 1-9.; Nedjat, S., Wang, Y., Eshtiaghi, K., & Fleming, M. (2023). Is there a disparity in medications for opioid use disorder based on race/ethnicity and gender? A systematic review and meta-analysis. Research in Social and Administrative Pharmacy.; Wang, Y., Chan, A., Beuttler, R., Fleming, M. L., Schneberk, T., Nichol, M., & Lu, H. (2024, January). Real-world dispensing of buprenorphine in California during prepandemic and pandemic periods. In Healthcare (Vol. 12, No. 2, p. 241). MDPI.; Ung, D., Wang, Y., Sundararajan, V., Lopez, D., Kilkenny, M. F., Cadilhac, D. A., ... & Andrew, N. E. (2022). Optimal measures for primary care physician encounters after stroke and association with survival: a data linkage study. Neuroepidemiology, 56(2), 90-96.; Wang, Y., Wu, D., Chan, A., Chang, C. H., Lee, V. W., & Nichol, M. B. (2022). Temporal trend of opioid and nonopioid pain medications: results from a national in-home survey, 2001 to 2018. Pain Reports, 7(3).; Wu, D., Wang, Y., Yang, S. Z., Wang, N., Sun, K. S., Lam, T. P., & Zhou, X. D. (2022). A Socio-ecological Framework for Understanding Workplace Violence in China’s Health Sector: A Qualitative Analysis of Health Workers' Responses to an Open-ended Survey Question. Journal of interpersonal violence, 37(11-12), NP9168-NP9190.; Preciado, S. M., Elsaid, K. A., Fawaz, S., Brown, L., Seoane-Vazquez, E., Fleming, M., & Wang, Y. (2022, August). Exploratory Analysis of Outpatient Visits for US Adults Diagnosed with Lupus Erythematosus: Findings from the National Ambulatory Medical Care Survey 2006–2016. In Healthcare (Vol. 10, No. 9, p. 1664). MDPI.; Lee, V. W., Wang, S. Y., Li, J. T., & Lam, A. S. (2022). Evidence of the Impact of Programmes to Prevent and Manage Heart Disease and Stroke. In Encyclopedia of Evidence in Pharmaceutical Public Health and Health Services Research in Pharmacy (pp. 1-45). Cham: Springer International Publishing.; Khan, J., Greaves, E., Tanton, C., Kuper, H., Shakespeare, T., Kpokiri, E., ... & Wu, D. (2023). Sexual behaviours and sexual health among middle-aged and older adults in Britain. Sexually Transmitted Infections, 99(3), 173-179.; Li, Y., Qin, C., Qiu, S., He, Y., Pang, L., Xu, X., ... & Wu, D. (2023). The effectiveness of pay-it-forward in addressing HPV vaccine delay and increasing uptake among 15–18-year-old adolescent girls compared to user-paid vaccination: a study protocol for a two-arm randomized controlled trial in China. BMC public health, 23(1), 48.; Lu, H., Barrett, A., Pierce, A., Zheng, J., Wang, Y., Chiang, C., & Rakovski, C. (2023). Predicting suicidal and self-injurious events in a correctional setting using AI algorithms on unstructured medical notes and structured data. Journal of psychiatric research, 160, 19-27.; Cai, J., Wang, Y., Wang, F., Lu, J., Li, L., & Zhou, X. (2021). The association of parent-child communication with internet addiction in left-behind children in china: a cross-sectional study. International Journal of Public Health, 66, 630700.; Wang, Y., Liu, Y., Waldron, M., Houston-Ludlam, A. N., McCutcheon, V. V., Lynskey, M. T., ... & Lian, M. (2021). Temporal trends in smoking and nicotine dependence in relation to co-occurring substance use in the United States, 2005–2016. Drug and Alcohol Dependence, 226, 108903.

Dr. Sherry Wang

Biography

Recent Creative, Scholarly Work and Publications

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