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Shi-Yi Wang, MD, PhD

Senior Research Scientist in Epidemiology
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Senior Research Scientist in Epidemiology

Biography

Dr. Wang is an Associate Professor at the Yale School of Public Health, faculty member of Cancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, and faculty member of Public Health Modeling Concentration, Yale School of Public Health. His primary interests focus on outcomes research and decision science. He is interested in combining systematic literature reviews, secondary data analyses, and simulation modeling to examine issues that are critical to clinicians and policy makers’ decision making. He has been working on several breast cancer projects, including an evaluation of preoperative breast MRI, development of an individualized decision aid to help radiotherapy decision-making, and assessment of sentinel lymph node biopsy for patients with ductal carcinoma in situ. He is also evaluating end-of-life care quality. He has served as the primary investigator or co-investigator in several projects (funded by Yale Cancer Center, AHRQ, NCI, ACS, and PCORI).

Currently, Dr. Wang is leading two projects:

1. Novel CER Methods

Novel therapies have improved the survival of patients with cancer but have also increased treatment costs substantially. These therapies create an enormous financial burden for patients, their families, and society in general. Furthermore, there are several critical barriers to generating reliable evidence to guide treatment decision-making. First, there is a lack of head-to-head comparative evidence. Also, as the cancers progress, patients’ regimens can involve multiple lines of treatment. Thus, the relevant research question for clinical evidence often becomes not simply how one drug compares to another, but which treatment sequence may produce the best patient outcomes. This project will combine literature reviews, secondary data analyses, and simulation modeling to identify the optimal sequential treatments for advanced non-small cell lung cancer. By integrating practice patterns from real-world data with evidence from randomized controlled trials, our proposed framework could provide a new foundation for comparative effectiveness research. (Funding source: American Cancer Society)

2. Progression of Multiple Myeloma

The project, one of the Cancer Intervention and Surveillance Modeling Network (CISNET) Programs, aims to develop a natural history model for multiple myeloma progression in the United States. The overarching goals will evaluate the impact of novel interventions for multiple myeloma prevention and control, as well as assess whether, under what conditions, and in which ways the goal of eliminating racial disparities can be achieved through the proposed novel intervention strategies and treatment regimens. (Funding source: National Cancer Institute)

Last Updated on November 09, 2026.

Appointments

Other Departments & Organizations

Education & Training

PhD
University of Minnesota (2012)
MD
Taipei Medical College (1992)

Research

Overview

Medical Research Interests

Breast Neoplasms; Terminal Care

Public Health Interests

Aging; Cancer; End-of-life Care; Global Health; Health Care Quality, Efficiency; Modeling

Research at a Glance

Yale Co-Authors

Frequent collaborators of Shi-Yi Wang's published research.

Publications

2026

Academic Achievements & Community Involvement

Honors

  • honor

    The Population Science Research Prize

  • honor

    The Distinguished Student Mentor Award

Get In Touch

Contacts

Academic Office Number

Locations

  • 60 College Street

    Academic Office

    Ste 432

    New Haven, CT 06510