Jaehee Kim

Jaehee Kim is an Assistant Professor in the Department of Computational Biology at Cornell University's College of Agriculture and Life Sciences (CALS). Her research integrates mathematical, statistical, and computational approaches to address fundamental questions in population genetics and evolutionary biology, with applications in epidemiology, forensic genetics, and ecological modeling.

Education:

• Ph.D. in Physics, Stanford University
• B.A. in Physics, Columbia University
• B.A. in Mathematics, Columbia University

Research Focus:
Kim's work examines population-genetic dynamical systems, including evolutionary processes that generate genetic/phenotypic variation. She develops models to study dormancy in pathogens like tuberculosis, gene drive dynamics in plants, and methods for analyzing multi-omic data in cancer genomics. Her lab combines statistics, machine learning, and physics to bridge theoretical population genetics with real-world biomedical and ecological challenges.

Recent Publications:
Her recent studies explore Bayesian phylodynamic inference of dormancy in population dynamics, network-based frameworks for genetic monitoring of fragmented habitats, and multi-omic analyses of cancers like malignant pleural mesothelioma. These works highlight her interdisciplinary approach to linking evolutionary theory with practical applications.