Rex Ma
Old Toronto, Ontario, Canada
Summary
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SeniorRex Ma is an AI scientist and PhD candidate in Computer Science at the University of Toronto with 10 years of experience applying machine learning to healthcare and biology. He combines academic research at the Vector Institute/Wang Lab with industry roles—current work at Xaira Therapeutics and past protein-design work at Fable Therapeutics—bridging deep learning research and translational bioinformatics. Rex has taught multiple core neural networks and introductory CS courses, serving as Head TA for advanced deep learning classes, which speaks to strong communication and mentorship skills. His projects range from single-cell deep-learning pipelines and prognostic models for heart failure to on-device video analytics and large-system debugging at IBM, showing comfort across research, embedded processing, and production-grade engineering. Notably, he pairs rigorous theoretical training with hands-on implementation in Python, OpenCV, and statistical methods, making him adept at taking models from prototyping to practical biomedical impact.
10 years of coding experience
Github Skills (45)
pytorch10
python10
audio10
natural-language-processing10
nlp10
transformers9
llm9
machine-learning9
multimodal9
inference9
deep-learning9
speech-recognition9
transformer9
gemma8
maven8
Programming languages (5)
Github contributions (5)
bowang-lab/IntegrAO
Nov 2023 - Nov 2025
Integrate Any Omics: Towards genome-wide data integration for patient stratification
Contributions:1 release, 8 PRs, 42 pushes in 1 year 11 months
data-integration
bowang-lab/AGILE
Jun 2023 - Jul 2026
AGILE Platform: A Deep Learning-Powered Approach to Accelerate LNP Development for mRNA Delivery
Contributions:2 releases, 30 pushes, 1 branch in 3 years 2 months
agiledeep-learning
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