I am currently a Ph.D. candidate at Massachusetts Institute of Technology (MIT) Biological Engineering. I am fortunate to be advised by Dr. Jonathan Gootenberg, Dr. Omar Abudayyeh, and Dr. Michael Birnbaum. Previously, I received my B.S. (Summa cum laude) in biomedical engineering from Rice University in 2021. At Rice, I was fortunate to work with Dr. Caleb Bashor and Dr. Gang Bao. I was an intern at Regeneron Pharmaceutical’s therapeutic antibody group in 2018. I am broadly interested in harnessing biological diversity to discover novel reprogrammable systems and using machine learning to engineer these systems for programmable cell control and delivery. With these sets of tools, I hope to perform in vivo recording and lineage to understand novel biology behind disease and engineer next-gen gene and cell therapy for autoimmune disease and cancer.
PhD Biological Engineering
Massachusetts Institute of Technology
BSc Biomedical Engineering
Rice University
We developed a novel machine learning model to rapidly evolve protein in silico for higher activity. We demonstrated SOTA performance for EVOLVEpro across DMS benchamarks and used it evolve a highly active genome editing toolbox and T7 RNAP that are orders of magnitude higher fiedlity than current used wild-type.
We discovered the first eukaryotic RNA-guided nucleases that are homologs of bacterial TnpB and CRISPR/Cas12 nucleases. This work revealed novel evolutionary insights on RNA-guided systems in eukaryotes. In addition, we performed comprehensive biochemical characeterization on fanzor’s adaption in eukaryotes and engineered it for mammalian cell genome editing.
We engineered the first robust mammalian RNA-sensor based on ADAR called RADARS. The sensor can be reprogrammed to track any RNA species inside eukaryotic cells and allow conditional cargo expression based on the presence/expression of target mRNA(s). We demonstrate that the system can be readily integrated into AAV, lentivirus, and synthetic mRNA to selectively turn on an arbitrary protein of interest. We showcase the use of this system in cell specific killing, lineage tracing and in vivo recording for reprogrammable cell control.