About me

I am a post-doctoral researcher in the Computer Science department at Duke University. My research centers on developing continuous representations of protein structure and applying these representations to improve machine learning methods for protein design. I am a member of the Donald Lab, which develops algorithms for computational protein structure prediction and design.

Previously, I received my PhD from the Computational Biology & Bioinformatics program at Duke University. I worked with the Donald lab to develop methods to compute probability distributions over protein conformation ensembles and apply these methods to design and study protein therapeutics.

Before entering graduate school, I worked on protein design as a member of both the Genetically Encoded Neuronal Indicator and Effector (GENIE) team and the Schreiter Lab at HHMI's Janelia Campus. I received a bachelor's degree in Biomedical Engineering with a minor in Computer Science from Dartmouth College in 2014.