Valeria Kebets
Manager Of Machine Learning Projects - Applied AI Institute at Concordia University
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolValeria Kebets is a computational neuroscientist and Manager of Machine Learning Projects at Concordia’s Applied AI Institute, bringing over a decade of experience applying data science and ML to complex biomedical questions. She has led interdisciplinary teams and end-to-end R&D projects, translating research-grade neuroimaging and multimodal datasets (N>10,000) into reproducible, deployable solutions. Her work spans developing CNNs to improve high-field brain segmentation, open-source unsupervised learning tooling, and cross-disciplinary collaboration with clinicians and engineers. Valeria combines hands-on coding in Python, R and MATLAB on high-performance systems with stakeholder-facing program management and science communication. She has a strong publication record and a knack for turning exploratory neuroscience findings into actionable pipelines that improve decision-making. Based in Montreal, she is now focused on moving research outcomes toward real-world interventions that optimize life outcomes.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BSc), Psychology, Bachelor of Science (BSc), Psychology at University of GenevaDoctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at Université de GenèveUniversity College London
French, English, Russian
Github Skills (7)
pls9
vtk8
imaging8
toolbox8
medical8
image-processing7
medical-image-processing5
Programming languages (2)
Github contributions (5)
MIPLabCH/myPLS
Sep 2019 - May 2022
myPLS toolbox - PLS analysis for medical image processing
Contributions:24 commits, 4 PRs, 1 push in 2 years 7 months
plsmedical-imagetoolboxmedical-image-processingimaging
valkebets/valkebets.github.io
Jul 2022 - Mar 2023
Contributions:119 pushes, 1 branch in 8 months
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