Ivana Balazevic
Research Scientist at Google DeepMind
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolIvana Balazevic is a Research Scientist at Google DeepMind with 12 years of experience bridging academic rigor and industrial ML research. She holds a PhD in Machine Learning from the University of Edinburgh and dual MSc degrees from Edinburgh and TU Berlin, with early roots in computer science from the University of Zagreb. Her career includes research roles at Facebook AI and Samsung AI Center, plus hands-on machine learning and NLP work for startups and industry clients, demonstrating both theoretical depth and product-focused applied research. Based in San Francisco, she combines publications-grade research with practical engineering experience in document understanding, NLP triage systems, and data-driven product features. Notably, her trajectory includes short-term industry collaborations and internships that shaped a pragmatic research style tuned to real-world ML deployment.
12 years of coding experience
3 years of employment as a software developer
Master of Science By Research - MScRes, Data Science, Distinction, Master of Science By Research - MScRes, Data Science, Distinction at The University of EdinburghBachelor of Science (B.Sc.), Computer Science, 4.5 (on a scale from 5.0 best to 1.0 worst), Bachelor of Science (B.Sc.), Computer Science, 4.5 (on a scale from 5.0 best to 1.0 worst) at Faculty of Electrical Engineering and Computing, University of ZagrebMaster of Science - MSc, Computer Science, 1.2 (on a scale from 1.0 best to 5.0 worst), Master of Science - MSc, Computer Science, 1.2 (on a scale from 1.0 best to 5.0 worst) at Technische Universität Berlin
English, Croatian, German, French
Stackoverflow
148reputation
16kreached
9answers
1question
Github Skills (34)
factorization10
evaluation9
graph-embedding9
graph-representation-learning9
nlp8
knowledge-graph8
prompt8
graph8
natural-language-processing7
sorting6
representations6
dictionary6
bert6
python6
numpy6
Programming languages (2)
Github contributions (5)
ibalazevic/TuckER
Jan 2019 - Aug 2019
TuckER: Tensor Factorization for Knowledge Graph Completion
Contributions:17 commits, 1 PR, 23 pushes in 7 months
tensor-factorizationfactorizationknowledgeknowledge-graphtensor
ibalazevic/HypER
May 2018 - Jul 2019
Hypernetwork Knowledge Graph Embeddings
Contributions:13 commits, 23 pushes, 4 comments in 1 year 1 month
knowledge-graph-embeddingsknowledgeembeddingsgraph-embeddingsgraph-representation-learning
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