Bahare Fatemi
Research Scientist at Google
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolBahare Fatemi is a Research Scientist at Google Research in Montreal with eight years' experience at the intersection of relational learning and graph representation learning. She completed a PhD and MSc in Computer Science at UBC, where her doctoral work under Prof. David Poole deepened her expertise in probabilistic relational methods. Her industry research pedigree includes internships at Google Research, Facebook AI, Borealis AI, and Element AI, spanning structure learning for GNNs and representation learning for knowledge hypergraphs. Known for bridging theory and applied ML, she focuses on scalable graph mining techniques that inform real-world products and research directions. A detail that sets her apart is sustained collaboration across top AI labs, giving her both academic rigor and practical impact.
8 years of coding experience
Amirkabir University of TechnologyDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at The University of British Columbia
English, Persian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
machine-learning10
unsupervised-learning10
tensorflow10
python10
keras8
ai7
data-analysis7
Programming languages (1)
Github contributions (5)
baharefatemi/SimplE
Feb 2019 - Aug 2020
Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch
Contributions:29 commits, 1 PR, 31 pushes in 1 year 6 months
pytorchgraph-convolutional-networkspredictionknowledgelink-prediction
ServiceNow/HypE
Jun 2019 - May 2020
Contributions:18 commits, 2 PRs, 18 pushes in 11 months
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