Kaiyi Jiang (姜凯议)

Kaiyi Jiang (姜凯议)

Biological Engineer

Massachusetts Institute of Technology

Biography

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. Applications include in vivo recording and lineage tracing, gene and cell therapy for autoimmune disease and cancer.

Interests
  • Gene/Cell Therapy
  • Synthetic Biology
Education
  • PhD in Biological Engineering, 2025

    Massachusetts Institute of Technology

  • BS in Biomedical Engineering, 2021

    Rice University

Experience

 
 
 
 
 
Masschusetts Institute of Technology
Graduate Student
Masschusetts Institute of Technology
June 2021 – Present Boston, MA
  • Developed the first robust mammalian cell RNA sensor named reprogrammable ADAR sensors (RADARS) that senses endogenous RNA transcripts down to 13TPM and release arbitrary payload upon ADAR mediated stop codon editing. I demonstrated this technology for cell state-specific apoptosis, molecular recording (lineage tracing with CRE), in vivo detection of tissue markers with live bioluminescence imaging, and RNA gated synthetic mRNA cytokine therapies for RNA immunotherapy in solid tumor.
  • Built a low-N protein engineering ensemble model comprising large protein langue model (ESM) and domain specific expert top layer for rapid evolution of enzymatic function. This model achieved SOTA performance on public DMS datasets. I deployed this model on a novel miniature CRISPR nuclease (PsaCas12f) and rapidly evolved a 10-fold more active enPsaCas12f for in vivo genome editing. Using this model, I evolved a SOTA T7 RNA polymerase that produces mRNA with near zero immunogenicity, BXB1 integrase that are 2-fold more active than wild type, and carbonic anhydrase with 20% increased thermal and PH stability.
  • Discovered the first RNA-guided protease in type III-E CRISPR systems (Craspase Cas7-11/Csx29/Csx30). This is the first known abortive infection module in bacterial antiviral defense systems that utilize post-translational protein cleavage upon RNA detection. I reprogrammed the system to function as a RNA sensor system in mammalian cell and demonstrated the potential for mammalian cell RNA diagnostic and therapy.
  • Discovered a novel group of eukaryotic RNA-guided DNA endonucleases (Fanzor). This is the first example of RNA-guided DNA cleavage mechanism in eukaryotes, and demonstrated the powerful evolution of RNA-guided nuclease TnpB’s adaptation into the eukaryotic world as they gradually acquired NLS and introns. Bioinformatic mining revealed more than 3,000 novel clusters in the eukaryotic genomes and serve as a rich resource for future nucleases.
 
 
 
 
 
Rice University
Undergraduate Student
Rice University
August 2017 – May 2021 Houston, TX
Developed a comprehensive engineering framework for post-translational protein circuits in mammalian cells based on phosphorylation. By exploiting the natural diversity of kinase, phosphatase, and SH2/SH3 domains, we designed a highly tunable phosphorylation-based protein circuits that allow fast time scale response to extracellular stimuli. We built a biophysical model to characterize each modular protein part for prediction of large design space and deployed the circuit for tuning of T cell activities through sensing cytokines.
 
 
 
 
 
Regeneron Pharmaceuticals
Intern
Regeneron Pharmaceuticals
May 2019 – August 2019 Tarrytown, NY
Identified the role of different adjuvants in eliciting immune repones of mice to foreign antigens. Through understanding of molecular differences between adjuvants in terms of germinal centers and plasma cell formation, we formulated the antigen with an optimal adjuvant for enhanced production of therapeutic antibodies for triple negative breast cancer.