Saeed Amizadeh
Senior Machine Learning Researcher at Microsoft
Greater Seattle Area United States
Summary
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Rockstar🎓
Top SchoolSaeed Amizadeh is a Senior Machine Learning Researcher at Microsoft with 11 years of research experience specializing in deep learning, graph-based methods, and neuro-symbolic approaches. He holds a PhD in Artificial Intelligence from the University of Pittsburgh and has applied his expertise across industry research roles at Microsoft, Yahoo Labs, Intel Labs and Technicolor. His work blends large-scale graph algorithms, spectral and causal learning, and practical systems—ranging from mode-seeking clustering in non-Euclidean spaces to bandit frameworks for graph-based recommender systems. Based in the Greater Seattle Area, he bridges rigorous academic foundations with applied research that drives production-ready ML in industry. An underappreciated thread in his career is consistent focus on human-centered and brain-inspired models, informing both causal discovery and connectome analysis earlier in his trajectory.
11 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of TehranMaster of Science (M.S.), Artificial Intelligence, Master of Science (M.S.), Artificial Intelligence at University of Pittsburgh
English, Persian
Github Skills (28)
anomaly-detection-models10
constraint-satisfaction10
constraint10
java9
outlier-detection9
visual-question-answering9
logic8
scale8
time-series8
large-scale8
big-data7
deep-learning7
first-order-logic7
nlp6
neural-network6
Programming languages (3)
Github contributions (5)
microsoft/DFOL-VQA
Aug 2020 - Mar 2021
Differentiable First-Order Logic Reasoning for Visual Question Answering
Contributions:16 commits, 1 PR, 4 pushes in 7 months
nlpdifferentiablequestionfirst-order-logicvisual-question-answering
microsoft/PDP-Solver
Feb 2019 - Sep 2020
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
Contributions:21 commits, 1 PR, 26 pushes in 1 year 7 months
deep-learningsolversconstraintneural-networkconstraint-satisfaction
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