Michael Galkin
Staff Research Scientist at Google
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Galkin is a Staff Research Scientist at Google Research with 13 years of experience advancing graph machine learning, knowledge graphs, and GenAI. He brings a rare mix of deep academic training—a PhD from the University of Bonn and postdoctoral work at Mila/McGill—and industrial research experience from Intel Labs and Fraunhofer, applying Semantic Web and ontology engineering to practical scientific and enterprise problems. Michael’s work spans graph neural networks, molecular ML, and knowledge-driven AI, with a track record of moving research into impactful systems. Based in New York, he combines rigorous theory with production-minded experimentation, often bridging symbolic knowledge representations and modern neural approaches.
13 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Hardware/Software Engineering, Master of Science - MS, Hardware/Software Engineering at ITMO UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Bonn
Русский, English, German, Spanish, French
Github Skills (67)
python10
deep-learning10
knowledge-graph10
benchmarking10
cuda10
machine-learning10
bots9
databases9
dgl9
graph-convolutional-networks9
prediction9
geometric-deep-learning9
pytorch9
pytorch-lightning9
drug-discovery9
Programming languages (10)
Github contributions (5)
migalkin/migalkin.github.io
Jul 2019 - Jan 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:139 pushes in 5 years 7 months
templategithub-pages-templatemmistakesmistakesjekyll
migalkin/kgcourse2021
Sep 2020 - Jan 2022
Материалы к курсу по Knowledge Graphs
Contributions:2 reviews, 139 commits, 11 PRs in 1 year 5 months
knowledge-graph
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