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New Grant

The Donaghue Foundation
Greater Value Portfolio
PIs: Xin Hu & Ryan Suk 
This 2- year project uses real-world data (SEER-Medicare and EHR data), integrating causal machine learning with microsimulation to assess heterogeneous treatment effects (HTE) and conduct distributional cost-effectiveness analysis (DCEA). The aim is to assess the value of palliative radiation therapy for patients with bone metastases. 
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Ryan Suk Headshot.jpg

DR. RYAN SUK (석리언)
She/They

"My research vision is,

Patient Empowerment & Accessible Care for Health (PEACH)"

I am an Assistant Professor in Health Economics who focuses on data-driven, community-engaged, and process-embedded research to advance health equity and improve healthcare efficiency. My research focuses on HPV-associated cancer prevention and control and patient-centered cancer survivorship, and I am dedicated to tailoring efforts for under-recognized/underserved populations, especially socio-economically disadvantaged children and those with limited access to care (e.g., poor spatial accessibility, rural residents, unmet social needs, and high opportunity costs). I am especially interested in integrating economic evaluation, community engagement, and business process models to optimize resource allocation by developing and implementing navigation and information tools and actionable decision rules to enhance the patient-centered cancer care continuum.

  • Clinical topic: HPV-associated cancer prevention and control; patient-centered cancer survivorship care

  • Method expertise: Economic evaluation & decision modeling; quantitative data analysis

  • Population focus: Under-recognized and/or underserved populations

Suk's Decision Science Lab at Emory University

Data-driven, community-engaged, and process-embedded research for optimizing resources and allocations to improve cancer prevention and reduce cancer health inequity.

- Decision modeling - Economic evaluation - Machine learning - Policy learning

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