Michael Galkin
Senior 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
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rheinische Friedrich-Wilhelms-Universität BonnMaster of Science - MS, Hardware/Software Engineering, Master of Science - MS, Hardware/Software Engineering at ITMO University
Русский, English, German, Spanish, French
Github Skills (117)
benchmark10
python10
deep-learning10
embedding10
knowledge-graph10
nlp10
graph10
benchmarking10
graph-embedding10
cuda10
arxiv10
evaluation10
machine-learning10
tsne10
graph-representation-learning10
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
DeepGraphLearning/ULTRA
Oct 2023 - Mar 2025
A foundation model for knowledge graph reasoning
Contributions:1 review, 8 PRs, 20 pushes in 1 year 5 months
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