Kaitlyn Cook is a biostatistician working to develop robust statistical methods for infectious disease treatment and prevention trials. Her research draws on ideas from the missing data literature, clustered and longitudinal data analysis, survival analysis and computational statistics. She has also collaborated with investigators on projects related to COVID-19 treatment and prevention, pediatric sleep medicine, pregnancy outcome prediction, cancer diagnosing, and statistical genetics.