Kristin A. Linn, PhD
Assistant Professor of Biostatistics
Dr. Linn's research program spans two broad areas: statistical methods for high-dimensional medical imaging data and sequentially randomized clinical trials. As a co-investigator, she provides biostatistical leadership on projects in psychiatry, radiology, neurology, cardiovascular health, and multi-morbidity.
Dr. Linn works to improve understanding of neurological diseases by developing imaging-based biomarkers for disease diagnosis and treatment response. She is interested in extracting meaningful features from images that enhance diagnostic power and promote biological interpretability. She is actively working on statistical frameworks for image processing and generalizing causal inference approaches to address confounding in imaging pattern analyses.
Dr. Linn also contributes to the design and analysis of sequentially randomized trials focusing on health incentives, behavioral economics, and the management of chronic illnesses. She is particularly interested in estimating individualized dynamic interventions that improve long-term patient outcomes.
Content Area Specialties
Biostatistics, medical image analysis, multiple sclerosis, neurodegeneration, neurodevelopment, personalized interventions, psychiatry, public health, radiology
Clinical trials, imaging statistics, machine learning, observational studies, predictive modeling, SMART design and analysis