Hello! I currently working as a junior data scientist for PHSA (the BC Center for Disease Control). I have been enjoying applying machine learning methods to healthcare data. I currently am interested in and working on Graph neural networks (GNN’s) particularly GraphSAGE and Graph Attention networks, and am exploring how to improve their performance in unsupervised and semi-supervised tasks. I am also currently open to new opportunities, and would love to expand my knowledge-base and apply my skills in data science and machine learning!
Before this, I was a Master’s student at the University of British Columbia, supervised by Dr. Gabriela V. Cohen Freue. Previously I was an undergraduate student at McMaster University majoring in Biology and Mathematics.
In my spare time, I enjoy playing the electric guitar, listening to music, reading books, working on art and playing tennis
Previously, I worked as a Data Science Intern at Broadstreet HEOR. My favourite project to date involved working on partial least square regression models to select an appropriate composite measure of survey response scale item variables for estimating treatment effects.
I also worked as a Data science intern at BC Cancer, as part of the Huntsman lab, where I worked on analyzing different kinds of next-gen genomic data, including RNA-Seq, WGS, targeted panel data and scDNAseq to identify insights pertaining to ovarian cancers. I additionally worked on the development of an R package, meant to be a toolkit for the analysis and visualization of shallow-whole genome sequencing data. I developed a machine learning model (isolation forest) for the package to evaluate the quality of relative copy-number calls for shallow-whole genome sequencing data.
Prior to those positions, I worked as a Data Science intern at JMIR Publications, where I worked as part of the marketing and communications team on competitive bibliometrics analysis, and enhancing journal Google Ad campaigns largely through keyword extraction and topic modeling.