Mehran Kazemi
Research Scientist at Google DeepMind
Montreal, Quebec, Canada
Summary
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SeniorMehran 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.
10 years of coding experience
Github Skills (13)
statistical-relational-learning10
tensorflow9
knowledge-graph9
machine-learning8
ai8
google8
stock-prediction5
graph-neural-network5
nlp3
natural-language-processing3
embedding3
pytorch2
arxiv1
Programming languages (2)
Github contributions (5)
Mehran-k/SimplE
Apr 2018 - Feb 2020
SimplE Embedding for Link Prediction in Knowledge Graphs
Contributions:7 commits, 10 pushes, 1 branch in 1 year 9 months
knowledge-graphknowledgebaselink-predictionknowledge-graph-completionknowledge-graph-embeddings
Mehran-k/Mehran-k.github.io
Jan 2019 - Feb 2023
Contributions:18 pushes, 1 branch in 4 years 2 months
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