M.Sc. researcher in bioinformatics · University of Calgary (February 2027)
Hi, my name is Sasha Chernenkoff!
I'm finishing an M.Sc. in bioinformatics in the
Long lab at the University of
Calgary. My research focuses on transfer learning, representation learning and model
interpretation for genomic data. I apply large pretrained models to new prediction tasks and use
in silico perturbation to test what they learn. I also build models that learn compact
representations of high-dimensional genomic data for downstream statistical analysis. My current
work fine-tunes genomic foundation models to predict protein abundance and RNA coverage.
I'm particularly interested in interpretability: helping researchers
and clinicians understand which features drive a model's predictions.
Before grad school, I worked as an R&D scientist at PerkinElmer
Genomics, where I developed second-tier biochemical diagnostic tests for newborn screening.
These included an LC-MS/MS biomarker panel for MPS I & II and a Western blot CRIM-status
assay for Pompe disease. That work got me interested in the intersection of molecular biology and
diagnostics, and inspired my work in computational genomics.
I can generally be found behind my computer screen writing code, getting
lost in the Canadian Rockies with my husband and son, or designing and building websites,
keyboards, and graphics!
Sasha