cv

PhD in Biomedical Engineering

Yale University

• Expected graduation in Spring 2023
• Advised by Kathryn Miller-Jensen
• Thesis: “Improved cell classification and inference of cellular communication from single-cell immunological data”
• Certificate from the Integrated Graduate Program in Physics, Engineering, and Biology

MPhil in Biomedical Engineering

Yale University

MS in Biomedical Engineering

Yale University

B.S. in Biomedical Engineering, Mathematics (Double Major)

University of Virginia

• Graduated with highest distinction (GPA 3.855)
• Minor in Engineering Business

Doctoral Research

Yale University (Under Kathryn Miller-Jensen, Ph.D.)

• Developed computational pipelines to connect and extract biological insight about cellular communication from single-cell data with primary application to melanoma and wound healing.
• Led all single-cell RNA-seq data analysis for $2.8M National Cancer Institute grant exploring mechanisms of combinatorial immunotherapies in mouse models of melanoma.

Undergraduate Capstone Research

Barron Associates (Under Alec Bateman, Ph.D., and Michael DeVore, Ph.D.)

• Integrated an established deterministic pharmacokinetic model of propofol transport into a novel Simulink-based stochastic framework to aid predictions of optimal anesthetic dose.

Undergraduate Research

University of Virginia (Under Jeffrey Saucerman, Ph.D. and Bryan Chun, M.D., Ph.D.)

• Integrated novel gene expression data into a logic-based ODE model of the cardiomyocyte hypertrophy signaling network to investigate the role of genetic variability of network species in hypertrophic response and implicate specific signaling network constituents as therapeutic targets.