Hi! I am currently a graduate student at Yale University, working on the intersection of data science, statistics, and epidemiology. I'm skilled in both Python and R, and I dabble a bit with visualization using Javascript. Before Yale, I was a bioengineering major at McGill University, with multiple years of wetlab and coding experience.


PROJECTS
EzyProtein: An app that allows users to search a protein and display proteins that interact with it

Proteins often work with each other through physical contact to perform a particular function; these physical contacts are called protein-protein interactions. Understanding protein-protein interactions can allow us to predict how protein(s) of unknown function will interact with already characterized protein(s).

Live-Cell Imaging Segmentation using MATLAB

Live-cell imaging of cells (using phase-contrast microscopy) are often hard to segment because of the lack of colored labelling. In collaboration with Pierre Marc Juneau, we developed an alogrithim using wavelet-transforms and basic matrix transforms to segment cells.
Virtual Poster Presentation

EXPLAINERS
  • Basics and Data Processing
VISUALIZATION
COVID-19 case counts and anomaly data reporting interactive visualization
Stacked graph of states reporting zero cases, segmented by days of week
Interactive graph of the SIR epidemiological model
Interactive graphs to demonstrate statistical distribution concepts
3Blue1Brown-style dynamic figures of SIR model for public health
Calendar Heatmap of COVID-19 Case Data changes