I am currently a postdoc in Yun Song’s group at UC Berkeley, in the Computer Science and Statistics departments. My research is in stochastic processes and their applications to evolutionary biology.
Previously, I worked as a postdoc at Los Alamos National Laboratory on the broad antibody response to HIV infection. As part of a consortium research effort to find an HIV-1 vaccine, I built simulation-based models to investigate the development of broad anti-HIV antibodies in humans.
I completed my PhD in Mathematics at Duke University in 2013 under the supervision of Katia Koelle, Jonathan Mattingly, and Mike Reed. I developed a measure-valued process formulation of selection at multiple biological scales (multilevel selection), and used a hybrid stochastic-deterministic model to study influenza evolution.