Mehran Kazemi
Staff Research Scientist at Google DeepMind
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolMehran Kazemi is a Staff Research Scientist based in Montreal with a decade of experience advancing machine learning and AI across industry and academia. He holds a PhD from UBC and has built and led research teams at Borealis AI before joining Google and DeepMind, focusing on relational learning, knowledge-graph embeddings, and probabilistic models. Mehran combines deep academic expertise—lifted inference and tensor factorization—with product-focused work such as TalentSnap’s FitScore, which blended NLP, time-series, and Bayesian methods into a production recommender. He is comfortable moving models from research to real-world systems and has a track record of mentoring teams and shipping applied ML at scale. A recurring theme in his career is bridging structured relational approaches with modern deep learning to solve heterogeneous data problems.
9 years of coding experience
11 years of employment as a software developer
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 (17)
ai8
machine-learning8
google8
temporal7
embedding5
graph5
knowledge-graph4
stock-prediction4
prediction4
graph-convolutional-networks4
nlp3
stock3
relational2
pytorch2
ranking2
Programming languages (2)
Github contributions (5)
Mehran-k/SimplE
Apr 2018 - Feb 2020
Contributions:7 commits, 10 pushes, 1 branch in 1 year 9 months
Mehran-k/Mehran-k.github.io
Jan 2019 - Feb 2023
Contributions:18 pushes, 1 branch in 4 years 2 months
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