Michal Malyska is an MLOps leader and machine learning scientist with 11 years of quantitative experience who has built and led ML teams from seed-stage startups to clinical biotech. As the first ML hire at Semantic Health he established production NLP pipelines and later scaled MLOps practice at Fable Therapeutics, now serving as Associate Director. He combines academic rigor—teaching probabilistic ML and statistical methods at the University of Toronto—with hands-on engineering, contributing to notable open-source projects like scispacy for biomedical text. Comfortable across research, deployment, and governance, Michal brings a pragmatic focus on pipeline serializability, testing, and reproducible workflows. Multidisciplinary early roles in actuarial analysis, contract automation, and education consulting reflect an ability to translate complex technical work into operational impact and clear stakeholder communication.
10 years of coding experience
3 years of employment as a software developer
International Baccalaureate
Master of Science - MSc Statistics, Master of Science - MSc Statistics at University of Toronto
A full spaCy pipeline and models for scientific/biomedical documents.
Role in this project:
ML Engineer
Contributions:8 reviews, 15 commits, 5 PRs in 23 days
Contributions summary:Michal primarily contributed to the `scispacy` repository by implementing and refining components related to scientific text processing. Their work included adding documentation for parameters within the candidate generation module, integrating serializations for abbreviations, and fixing links and formatting. Additionally, the user added tests to address warnings and ensure pipeline serializability within the project, demonstrating a focus on maintaining the quality and functionality of the NLP pipeline.
Contributions:56 pushes, 1 branch in 4 years 1 month
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