Mitacs Accelerate Intern
Development of systematic methods for expanding, screening, and selecting biodiversity in industrially useful yeast strains.
I've been fixing things since I was a kid, electronics and computers first. Then I got curious about why the genome breaks, and realised it was just another kind of circuit, one that sometimes can't repair itself. That curiosity took me all over the world, to one corner of the southern hemisphere for my undergraduate, then to a lab with a Nobel Laureate collaboration, and finally to the other corner of the northern hemisphere where I spent seven years inventing a new way to decode what disease-causing variants actually do to a protein, combining yeast genetics, human disease biology, and computational tools at scale.
I'm drawn to problems where bench work and computation have to talk to each other, and I'm looking for a postdoc or industry role, particularly in AI/ML applied to biology, where that combination is genuinely useful.
Development of systematic methods for expanding, screening, and selecting biodiversity in industrially useful yeast strains.
Coding experience since 1996; bioinformatics and NGS background from graduate and early-career research.
R (advanced — Shiny, packages), Python (familiar), PHP (basic)
Reactive R Shiny tool for yeast strain coordinates, mutant info, and gene function lookup for the Loewen Lab Deletion Mutant Array.
View app ↗Visualization tool for screening LOF variant or yeast mutant phenotypes on 96/384-well plates with time-series growth data; z-axis extensible.
View project ↗Illumina HiSeq assembly QC, PacBio SMRT methylation, contig remapping, variant functionalization pipelines, linear mixed-effects modelling.
Thesis: Sentinel interaction mapping (SIM): Development of a novel complementation-independent variant functionalization platform using yeast–human genetic interaction mapping for TP53