Alina Selega
Senior Machine Learning Scientist at Recursion
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolAlina Selega is a Senior Machine Learning Scientist with 11 years of experience applying statistical modelling and ML to genomics and biomedical research. She holds a PhD from the University of Edinburgh and has combined academic postdoctoral work at leading Toronto institutions with research appointments at the Vector Institute. At Recursion she progresses from Machine Learning Scientist to senior roles, translating complex biological data into predictive models for drug discovery. Her background spans hands-on experimental collaborations in hospital and university labs, giving her uncommon fluency in both wet-lab constraints and computational modelling. Known for bridging rigorous research with product-minded execution, she focuses on reproducible, interpretable methods tailored to genomics. Based in Old Toronto, she brings deep domain expertise and a track record of moving models from hypothesis to impact.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of EdinburghBachelor of Science - BS, Bachelor of Science - BS at University of York
German, Russian, Latvian, English
Github Skills (27)
python9
machine-learning9
tensorflow9
deep-learning9
bayesian8
ml8
neural-network8
statistics7
deep-neural-networks7
bioconductor7
bayesian-methods6
probabilistic-reasoning6
probabilistic-programming6
kmeans6
clustering5
Programming languages (6)
Github contributions (5)
alinaselega/BUMHMM
Oct 2016 - Sep 2020
Contributions:26 commits, 24 pushes, 3 branches in 3 years 11 months
camlab-bioml/2022_manatee_paper_analyses
Jun 2022 - Nov 2022
Contributions:22 commits, 10 pushes in 5 months
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