Senior Staff Research Scientist at Google DeepMind
Stony Stratford, England, United Kingdom
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Summary
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Petar Veličković is a Senior Staff Research Scientist at Google DeepMind and an Affiliated Lecturer at the University of Cambridge with 11 years of experience in geometric deep learning and graph representation learning. He holds a PhD from Cambridge and is an ELLIS Scholar whose work—most notably Graph Attention Networks and Deep Graph Infomax—has become widely used in research and industry, including improving travel-time predictions in Google Maps. Petar bridges theory and practice, applying symmetry-aware neural architectures to algorithmic reasoning and computational biology while also guiding mathematicians toward new theorems. He combines deep academic credentials with production impact and teaching experience, and is known for communicating results effectively so others can build on them. An interesting thread across his career is a strong foundation in systems and languages (from FPGA projects to OCaml at Jane Street), which informs his rigorous approach to model and software design.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Machine Learning and Bioinformatics, Doctor of Philosophy (PhD) Machine Learning and Bioinformatics at University of Cambridge
High School Mathematics Physics Computer Science, High School Mathematics Physics Computer Science at Matematička gimnazija
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Petar Veličković - Senior Staff Research Scientist at Google DeepMind