I am a Ph.D. student in Biomedical Engineering at Johns Hopkins University, co-advised by Rong Li and Jian Liu. My research focuses on the effect of protein aggregtes on mitochondria health and sorting during inheritance. As both a software engineer and experimentalist, I harness computational models, underpinned by rigorous empirical measurements, to investigate the intricacies of biological phenomena. My particular interest lies in creating and applying machine learning algorithms for deep analysis of complex, dynamic biological systems. My work is generously supported by an National Defense Science and Engineering Graduate Research Fellowship.

Before Hopkins, I worked at NASA Ames Research Center with Lynn Rothschild in production of synthetic rubber in bacteria, and mentoring the Stanford-Brown IGEM team. During undergrad, I worked in the Malenka lab examining neuronal circuitry in addictive behavior formation.

Outside of work, I enjoy bicycling, urban exploration, and building experimental model aircraft.

MitoDynamics

I created, developed, and maintain MitoDynamics (MD), a library of fully automated computer vision pipelines for analyzing single cell mitochondria dynamics at library-scale. Capable of handling up to 6D microscopy images across a variety of imaging platforms, MD reduces the time-to-data from experiment by >1000x and has to date has been used in four peer-reviewed publications.

Chromosome Metaphase Spread Counter

I developed an automated chromosome counting workflow that counts chromosome clusters using computer vision. While no longer hosted online, a snapshot of the project is available here.