Research

For a list of awards, symposia organized, conference talks (and more), see my CV
I am broadly interested in problems that lie at the interface of mathematics and biology. I enjoy collaborating with diverse groups of scientists and have numerous experiences leading impactful research projects.
Some current research directions include:
  • in vivo virus dynamics (specifically HIV)
  • evolution of mutants in fragmented populations
  • cell dynamics, signaling, and fate control using mathematical modeling and single-cell sequencing data

projects and publications

Virus dynamics

  • A hybrid stochastic-deterministic approach to explore multiple infection and evolution in HIV. Jesse Kreger, Natalia L. Komarova, and Dominik Wodarz. Published in PLOS Computational Biology December 2021. https://doi.org/10.1371/journal.pcbi.1009713

  • Quantifying the dynamics of viral recombination during free virus and cell-to-cell transmission in HIV-1 infection. Jesse Kreger, Josephine Garcia, Hongtao Zhang, Natalia L. Komarova, Dominik Wodarz, and David N. Levy. Published in Virus Evolution March 2021. https://doi.org/10.1093/ve/veab026

  • Effect of synaptic cell-to-cell transmission and recombination on the evolution of double mutants in HIV. Jesse Kreger, Natalia L. Komarova, and Dominik Wodarz. Published in Journal of the Royal Society Interface March 2020. https://doi.org/10.1098/rsif.2019.0832

Evolution of mutants in fragmented populations

  • The role of migration in mutant dynamics in fragmented populations. Jesse Kreger, Donovan Brown, Natalia L. Komarova, Dominik Wodarz, and Justin Pritchard. Published in Journal of Evolutionary Biology December 2022. http://doi.org/10.1111/jeb.14131

  • Evolutionary dynamics of cellular metapopulations: fragmentation, cell migration, and mutants. Jesse Kreger, Natalia L. Komarova, and Dominik Wodarz. In preparation.

  • Mathematical modeling of plankton evolution, mixing, and dynamics in global ocean communities. Multiple authors. In progress.

Cell dynamics

  • Myeloid-derived suppressor cell dynamics control outcomes in the metastatic niche. Jesse Kreger, Evanthia T. Roussos Torres, and Adam L. MacLean. In revision at Cancer Immunology Research 2022. https://doi.org/10.1101/2022.06.15.496246
  • Characterization of a new HER2 positive mouse model of metastatic breast cancer. Multiple authors. In progress.
  • Corroborating important immune cell types and genes in a lung metastatic model of HER2 positive breast cancer using single-cell RNA sequencing. Multiple authors. In progress.

undergraduate Research Supervised

Summer 2022: Supervisor for project on myeloid-derived suppressor cell differentiation for one undergraduate student
Fall 2020: Mathematical Modeling of Cancer Dynamics Instructor for research course for two undergraduate students with a focus on carcinogenesis
Summer 2020: Teaching/Research Assistant for MathBioU Assistant supervisor for summer research project for two undergraduate students and one high school student on the the spread of COVID-19 over networks
Spring 2020: Mathematical Modeling of Infectious Disease Dynamics Instructor for research course for two undergraduate students with a focus on modeling the first wave of COVID-19
Summer 2019: Supervisor for project on the evolutionary dynamics of cellular metapopulations with migration for one undergraduate student

past projects

On mathematical modeling of epidermal wound healing. Honors Thesis at Occidental College. Supervised by Ron Buckmire.
Dynamics of particle-laden thin films: viscous fluid on an incline. University of California, Los Angeles Applied Math REU. Supervised by Andrea Bertozzi, Li Wang, and Jeffrey Wong. Work acknowledged in https://iopscience.iop.org/article/10.1088/1361-6544/aab91d