Kaitlyn Cook

Kaitlyn Cook serves as Assistant Professor of Statistical & Data Sciences at Smith College, where she maintains an active research program at the intersection of biostatistics and medical applications. Her office is located in McConnell Hall 210, and she holds regular office hours on Tuesdays 9–11 a.m. during Spring 2025.

Her educational background includes advanced degrees from prestigious institutions:

• Ph.D. and A.M. from Harvard University
• B.A. from Carleton College

Dr. Cook's research program demonstrates dual focus: methodological innovation in statistical techniques and substantive medical collaborations. She develops robust statistical methods for infectious disease treatment and prevention trials, drawing on expertise in missing data literature, clustered and longitudinal data analysis, survival analysis, and computational statistics. Her substantive collaborations span multiple medical domains including pediatric sleep medicine (particularly snoring and sleep apnea in children), pregnancy outcome prediction, cancer diagnostics, and statistical genetics. Analysis of her recent publications reveals consistent engagement with NIH-funded clinical trials like the Pediatric Adenotonsillectomy for Snoring (PATS) study.

Her scholarly output shows significant methodological contributions to handling complex data structures (particularly clustered interval-censored data) while maintaining strong ties to clinical applications. The publications demonstrate expertise in translating statistical innovations into practical medical research tools, with particular emphasis on pediatric sleep disorders and cancer diagnostics.

Dr. Cook actively engages in interdisciplinary research collaborations that address pressing medical questions through sophisticated statistical approaches. Her work on the PATS clinical trial demonstrates leadership in designing and analyzing studies that evaluate surgical interventions for pediatric sleep disorders. She also contributes to developing novel diagnostic tools for cancer through work on extracellular vesicle profiling from blood plasma.