Samuel Berchuck

Samuel Berchuck is an Assistant Professor in the Department of Biostatistics & Bioinformatics at Duke University, with a joint appointment in Statistical Science at Trinity College of Arts & Sciences. He is also a member of the Duke Cancer Institute and affiliated with Duke AI Health and the Visual Performance Lab at Duke Eye Center. His research focuses on developing machine learning and statistical methods to address critical challenges in healthcare, particularly in glaucoma, autism spectrum disorder, and oncology. He holds a Ph.D. in Biostatistics from the University of North Carolina-Chapel Hill and completed an NIH K99/R00 postdoctoral fellowship at Duke.

Education: Ph.D. in Biostatistics, University of North Carolina, Chapel Hill (2018).

Research Interests:

• Machine learning for healthcare prediction and decision support
• Statistical modeling of longitudinal spatiotemporal data
• Integration of electronic health records and clinical narratives
• Psychosocial distress screening in ophthalmology
• Bayesian methods for small sample and complex data

Grants:

• NIH K99/R00 Postdoctoral Fellowship (National Eye Institute)
• Development of an AI-driven glaucoma care program (National Eye Institute, 2024–2027)
• Spatiotemporal cancer care patterns study (Medical College of Wisconsin, 2025)

Labs/Teams: Duke AI Health, Visual Performance Lab (Duke Eye Center), and collaborations with the Duke Glaucoma Registry.