Lynn Lin, PhD, brings a passion for connecting statistical theory with real-world biomedical applications to the Duke Master of Biostatistics program. As an expert in statistical and computational methods for complex data, particularly high-dimensional and multi-omics studies, Lin teaches BIOSTAT 701 and 724.

Hwanhee Hong, PhD, is an associate professor of biostatistics and bioinformatics at Duke whose path from Seoul, South Korea, to Durham has been guided by both curiosity and compassion.

Chuan Hong, PhD, is an assistant professor of biostatistics and bioinformatics at Duke University, where she bridges the worlds of statistics, artificial intelligence, and clinical medicine. Guided by a fascination with uncertainty, her work explores how statistical and AI methods can make health care prediction more reliable, fair, and impactful.

Sam Berchuck, PhD teaches BIOSTAT 725: Bayesian Health Data Science in Duke’s Master of Biostatistics program, bringing his expertise in Bayesian methods and patient-centered research to inspire students with real-world applications.

With a strong foundation in mathematics and a passion for applied problem-solving, Greg Samsa, PhD brings both expertise and creativity to the Duke Master of Biostatistics program.

Brooke Alhanti, PhD, brings a passion for scientific discovery and a strong foundation in biostatistics to her role as instructor of BIOSTAT 701: Introduction to Statistical Programming I at Duke University.

Marissa Ashner, PhD, teaches applied methods and survival analysis in Duke’s Master of Biostatistics program, where she is known for helping students connect complex concepts and build strong communication skills. In addition to teaching, she contributes to aging-related research through the Duke Center for Aging & Human Development.