Bioinformatics Scientist · Single-cell & Spatial Transcriptomics · Multi-omics Integration · Translational ML
Toronto, Canada
I'm a computational biologist with a decade of experience bridging experimental biology, machine learning, and bioinformatics to drive translational research. My work spans:
- Single-cell transcriptomics — scRNA-seq pipeline development (Snakemake/Docker), multi-species analysis in epilepsy research (Krembil/UHN)
- Translational oncology — ML-based patient stratification models deployed in clinical trials; multi-omics target discovery (Princess Margaret Cancer Centre/UHN)
- Systems & metabolic modelling — genome-scale metabolic models of human adipocytes; open-source tools EFMviz and ComMet (PhD, Maastricht University)
I'm a Canadian Bioinformatics Workshops instructor (scRNA-seq, Pathways & Networks, R) and a certified Carpentries instructor.
Languages
Workflow & Infrastructure
Single-cell & Spatial
ML & Stats
Omics & Pathway Analysis
| Project | Description | Stack |
|---|---|---|
| ComMet | Compare metabolic states using genome-scale metabolic models · PLOS CompBio 2021 | R, MATLAB, COBRA |
| EFMviz | Visualise Elementary Flux Modes in genome-scale metabolic models · Metabolites 2020 | R, COBRA |
| CBW Workshops | Teaching materials: scRNA-seq (2026), Pathway & Network Analysis (2023/24), Analysis Using R (2023/24) | R |
- Serine phosphorylation facilitates protein degradation by mitochondrial ClpXP protease · PNAS 2025
- Comparison of metabolic states using genome-scale metabolic models · PLOS CompBio 2021
- EFMviz: A COBRA Toolbox Extension · Metabolites 2020
- Genome-scale modelling of human adipocyte metabolism · PhD Thesis 2022
→ Full list on Google Scholar