Re: me
BIOINFORMATICS DATA SCIENTIST · BIOTECH · VANCOUVER, BC
I’m a data scientist in the Biotech industry at a cell therapy company helping develop new drugs to treat autoimmune disease. My day-to-day involves trying to answer scientific questions using programming and statistics to make sense of biological data.
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My interests include but is not limited to:
- Analytics and Visualization. Tool of choice R (tidyverse), javascript, python (in that order). My preferred deliverable for data products are scientific articles and web apps.
- Data Engineering. I strongly value reproducibility, visibility, and authenticity. Naturally I am drawn to data engineering principles and technology. Relevant stack: quarto for reproducible scientific documents, CI/CD (github actions) for automated testing and deployment, prefect/dagster/r-targets for orchestration and pipeline implementation.
- Bioinformatics, Statistics, and Machine Learning.
I earned my PhD from the University of British Columbia (2022), Vancouver BC, focusing on epigenetics and placental biology, following a BSc in Molecular Biology from Concordia University, Montreal QC.
Outside of work, you’ll likely find me at a rock climbing gym, obsessing for the perfect pour-over and espresso, or riding with a tiny human on a longtail.
Recent news
Some of my recent work won recognition in two 2025 Posit contests.
Visualization of Canadian labour statistics that won the grand prize for the 2025 Plotnine contest:
We are happy to announce Victor’s Canada Labour Statistics visualisation as the winner of Posit’s 2025 Plotnine plotting contest.
The backdrop of this visualisation is an aggregate of all the categories of industries. It encodes three dimensions. While the Grammar of Graphics makes it easy to encode dimensions into visual elements, i.e., aesthetic mapping, this visual shines because of what it has chosen to represent, and how it represents it: time along the horizontal, ranking of the percentage change in employment numbers on the vertical, and the percentage change itself as a colour…
My visualization of Coronavirus Spike Proteins won the award for “Best gt Table” for Posit’s 2025 Table Contest:
This table submission is remarkable for its audacity: multiple sequence alignment has its own established tooling, yet here’s someone doing it with gt and it actually works! It’s obvious to me that the author saw a table package not as a constraint but as a canvas for domain-specific visualization. Maybe the future of bioinformatics might involve more Quarto documents with/ tables and fewer standalone desktop applications?
Check out my blog post for more details.