Vallijah Subasri
AI Scientist at Peter Munk Cardiac Centre
Canada
Summary
👤
Senior🎓
Top SchoolVallijah Subasri is an AI Scientist at the Peter Munk Cardiac Centre, University Health Network, applying machine learning and genomics to advance precision medicine for cardiovascular disease. She holds a PhD from the University of Toronto and SickKids, where she developed risk-prediction models and studied clinical heterogeneity in pediatric cancers. With nine years of experience spanning research roles at the Vector Institute and SickKids, she translates fairness, safety, and transparency principles into practical mitigations for healthcare AI—tackling distribution shifts, bias, and clinician over-reliance. Her work bridges rigorous academic research and clinical deployment, emphasizing responsible AI in high-stakes settings. Outside the lab she’s a creative thrift-hunter who enjoys cooking, painting, and drawing—a reminder that her problem-solving blends technical rigor with human-centered curiosity.
9 years of coding experience
7 years of employment as a software developer
HBSc, Biomedical Science & Computer Science, HBSc, Biomedical Science & Computer Science at Western UniversityDoctor of Philosophy - PhD, Machine Learning & Computation Biology, Doctor of Philosophy - PhD, Machine Learning & Computation Biology at University of Toronto
Github Skills (12)
evaluation9
medicine9
clinical-research8
recall8
deep-learning6
machine-learning6
foundation-models4
bioinformatics2
biophysics1
medical1
testing1
security1
Programming languages (3)
Github contributions (5)
vsubasri/LFS-Early-Cancer-Onset-Prediction
Jul 2021 - Oct 2021
DNA methylation predicts early onset of primary tumor in patients with Li-Fraumeni Syndrome
Contributions:37 commits, 4 PRs, 52 pushes in 2 months
age-of-onsetcancer-onsetdna-methylationhereditary-cancer-syndromeli-fraumeni-syndrome
vsubasri/Data-Structures-and-Algorithms
Mar 2017 - Apr 2022
Contributions:34 pushes, 1 branch in 5 years 1 month
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