Bio

I am computational evolutionary biologist in the Herbold Computational Biology Program at Fred Hutch Cancer Center. My postdoctoral research has focused on methods development for computational immunology in Dr. Erick Matsen’s group. Primarily, I have developed tools to better understand the adaptive immune system, creating software to model the natural evolution of antibodies.

I completed my PhD in the Department of Integrative Biology at UT Austin, advised by Dr. Claus O. Wilke. My dissertation work primarily sought to improve methods for evolutionary inference on biological sequence data, using both deep neural networks and statistical modeling. My graduate education included 3 years as a trainee on the T32 Biomedical Big Data Training Grant in the Department of Statistics and Data Science. During my undergraduate at KU, I studied theoretical population genetics in the lab of Dr. Maria E. Orive.

Education

Fred Hutch Cancer Center | Seattle, WA

Postdoctoral Research Associate in Computational Biology | January 2023 - Present

University of Texas at Austin | Austin, TX

Ph.D. in Ecology, Evolution and Behavior | August 2017 - December 2022

University of Kansas | Lawrence, KS

B.S. in Ecology and Evolutionary Biology | August 2013 - May 2017