Kim Lab
Principal Investigator: Jaehee Kim
Institution: Cornell University (Ithaca, NY)
Primary Subfield: Genetics/Genomics
Recruitment Status: ✅ Accepting PhD Students ✅ Hiring Postdocs
Research Focus
PROJECT SUMMARY With the advent of high-throughput sequencing, pathogen genetic data have become an increasingly important source of information in the study and surveillance of infectious diseases. However, current computational methods for genetic epidemiology do not adequately capture the complexities inherent in the genetic consequences of realistic disease dynamics. This limitation hinders our ability to fully exploit this rich data source. The core challenge involves incorporating epidemic, ecological, and evolutionary factors, along with their interactions, into the computational framework. My lab’s central aim for the next 5 years is to address this challenge by developing novel statistical and computational methods, drawing on our expertise in population genetics, applied mathematics, and computation. First, we will develop efficient coalescent-based phylodynamic methods to jointly infer genealogies and model parameters based on pathogen genetic data while incorporating realistic biological and epidemiological processes associated with latent and polyclonal infections. We will devise new algorithms and inference frameworks capable of handling the inherent complexities in t…
Active NIH Awards
- 5R35GM156957-02: Tree-based population genetics methods for genetic epidemiology (2026)
- 1R35GM156957-01: Tree-based population genetics methods for genetic epidemiology (2025)
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