I am interested in using machine learning algorithms to understand selection across plant genomes in response to stress. I received my PhD in Bioinformatics and Computational Biology at the University of Idaho where I focused on performing simulation-based model inference using machine learning algorithms in areas ranging from demographic inference and phylogenetics to community-wide assembly mechanisms. This research was concentrated on disjunct plants of the Pacific Northwest temperate rainforest, but also focused on community-wide plant ecosystems, such as island plant communities. I am currently interested in continuing to apply machine learning algorithms to novel problems in evolutionary biology that can aid in solving our world’s most challenging problems. In the Moi and Rhee labs, I continue to investigate these algorithms as I study the relationship between genetic adaptation and response to stress in economically and agriculturally important crop plants. Investigating such adaptations to stress aid in our struggle to understand the future impacts of climate change.
