معرفی
Krithika Suresh is a Research Assistant Professor in the Department of Biostatistics at the University of Michigan, with a secondary appointment in Radiation Oncology. Her research focuses on biostatistical methodology development for survival analysis, longitudinal data, and prediction models with direct applications in cancer research and health outcomes.
Her educational background includes:
- PhD in Biostatistics, University of Michigan, 2018
- MMath in Biostatistics, University of Waterloo, 2013
- BS in Honours Mathematics, University of Waterloo, 2012
Dr. Suresh's research centers on advanced statistical techniques including survival analysis, joint modeling of longitudinal and time-to-event data, and dynamic prediction systems. She applies these methods to cancer prognostic modeling (particularly prostate cancer), personalized medicine frameworks, and pragmatic clinical trial design for weight management interventions in primary care settings. Her work bridges theoretical biostatistics with practical healthcare applications.
Analysis of her 2020-2022 publications reveals consistent methodological innovation in survival analysis, featuring copula-based dynamic prediction models for time-dependent covariates and longitudinal biomarkers. She has also contributed significantly to machine learning applications in medical imaging through explainable AI pipelines and pragmatic trial design for public health interventions. Her research demonstrates strong integration of statistical theory with oncology and population health applications.
Based on available information, details regarding Dr. Suresh's student advising, research grants, laboratory affiliations, or scientific awards are not provided in the source materials.
