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A B O U T
I am a computational protein engineer with an interdisciplinary background in Computer Science and Bioengineering.
I enjoy designing and forward engineering novel proteins for applications in human healthcare with a focus on computational and structure-based approaches. My versatile expertise includes:
4 years biotech industry experience as a scientist at Amgen
Postdoc focused on bottom-up in vitro reconstitution with Dr. Daniel Fletcher at UC Berkeley,
Postdoc specializing in computational protein design using Rosetta with Dr. David Baker at the University of Washington
Ph.D. in rational design of synthetic biology tools with Dr. Christina Smolke at Stanford University
I dabble in machine learning methods (RoseTTAFold/AlphaFold, IG-VAE) that can improve upon state of the art computational methods for protein property prediction.
Currently, in close collaboration with a variety of teams, I use protein structure prediction, protein-protein interface calculations, folding stability predictions, and de novo binder design to create panels of molecules that support the discovery of new drugs for the treatment of cardiovascular disease, immunological diseases, and cancer.
E D U C A T I O N
Stanford University Sep 2009-Sep 2015
PhD in Bioengineering
Masters in Bioengineering
Thesis advisor: Dr. Christina D. Smolke
University of Washington Sep 2005-Jun 2009
BS in Bioengineering with Honors, Summa Cum Laude
BS in Computer Science and Engineering, Summa Cum Laude Thesis advisor: Dr. Suzie H. Pun