Minseon Kim

Senior Researcher at Microsoft

Montreal, Quebec, Canada
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Summary

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Senior
🎓
Top School
Minseon Kim is a Senior Researcher at Microsoft with nine years of experience focused on aligning AI models to regulations and safety constraints. Currently a postdoctoral researcher at Microsoft Research Montreal, she combines academic rigor from a PhD in Artificial Intelligence at KAIST with hands-on research experience at institutions like the University of Oxford. Her work centers on building safe, compliant AI systems—bridging theory and practice to make models auditable and policy-aware. Minseon’s background in bio and brain engineering plus electrical engineering gives her a multidisciplinary perspective on ML problems, from model design to system-level implications. She is based in Montreal and brings a research-to-product mindset that accelerates adoption of trustworthy AI in industry settings. An investigator comfortable in both academic and corporate labs, she often focuses on subtle trade-offs between safety, performance, and regulatory alignment.
code9 years of coding experience
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Korea Advanced Institute of Science and Technology
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Github Skills (13)

contrastive-learning9
self-supervised-learning9
debugging8
super-resolution8
agentic8
llm5
pytorch5
convolutional-neural-networks3
regularization3
jekyll-theme3
data-augmentation3
face-detection2
deep-learning1

Programming languages (2)

JavaScriptPython

Github contributions (5)

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Moon is a minimal, one column jekyll theme.
Contributions:94 pushes, 2 issues in 2 years 3 months
jekyll-theme
Kim-Minseon/RoCL

Sep 2020 - Nov 2020

Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)
Contributions:12 commits, 11 pushes, 1 branch in 2 months
contrastive-learningrocladversarial-trainingself-supervised-learning
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