"As a recipient of life-changing medicine myself, I’m excited to help drive innovation at such an exciting time in human medicine."
I started my studies in Physics and Astronomy at Northern Arizona University as an undergraduate. My interests shifted from the vast scale of the universe, to the tiny scale of protein structure. My introduction to protein science came during a summer at University of Chicago studying the interaction of myosin and actin proteins. After learning that I’m horrible at wielding pipettes, I dived full throttle into computational methods for studying protein structure and dynamics with a NIH sponsored Post-Baccalaureate program (PREP) in John Karanicolas’ lab at University of Kansas. After graduating with my Ph.D from University of Pennsylvania (advisor Roland Dunbrack) in Molecular Biophysics, I joined Prescient Design to lend expertise in antibody sequence and structure.
MAbs. 2020 Jan-Dec;12(1):1840005.
While I consider myself a generalist of protein structure and design, my expertise is mainly in antibody structure classification and structural bioinformatics towards antibody design. I’ve written algorithms to automate the classification of antibody CDR structures within either resolved or simulated structures, and have used RosettaAntibodyDesign to generate binders towards SARS-COV-2. For my primary publication in graduate school, I expanded the definition of the antibody binding site by introducing a thorough analysis of the antibody “DE loop”.