Kristin Linn, PhD is an Assistant Professor in the Department of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine. 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, dermatology, and behavioral health economics.
Dr. Linn works to develop statistical methods that improve understanding of the neurobiological mechanisms of psychiatric illnesses. She is actively working on statistical frameworks for harmonizing imaging data from multi-site studies and estimating spatially varying patterns of multimodal image associations. She is also interested in adapting methods from causal inference to address confounding in imaging pattern analyses.
Dr. Linn has experience designing sequential multiple assignment randomized trials (SMARTs) in a number of research areas. She is particularly interested in using data from SMART designs to estimate individualized dynamic interventions that improve long-term patient outcomes.