Timur Garipov
PhD Candidate
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTimur Garipov is a PhD candidate in Computer Science at MIT, specializing in probabilistic machine learning and deep learning under Professor Tommi Jaakkola. With 11 years of experience and roots in Moscow State University (BS/MS), he focuses on empirical investigations of training dynamics, robustness, and generalization in deep neural networks. Based in San Francisco, he blends rigorous theoretical grounding with hands-on experiments to uncover practical insights about model behavior. Timur’s work emphasizes measurable, data-driven approaches to longstanding ML questions, often bridging probabilistic methods and modern deep learning practice.
11 years of coding experience
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Massachusetts Institute of TechnologyMaster's degree Computer Science, Master's degree Computer Science at Moscow State University
Github Skills (16)
uncertainty10
bayesian-deep-learning10
bayesian9
gaussian-processes8
deep-learning7
stochastic6
tensorflow5
stochastic-processes4
pytorch4
graph-neural-network4
machine-learning3
geometric-deep-learning3
graph-convolutional-networks3
reinforcement-learning1
deep-reinforcement-learning1
Programming languages (2)
Github contributions (5)
timgaripov/TensorNet-TF
May 2016 - Aug 2017
Contributions:9 commits, 2 PRs, 8 pushes in 1 year 4 months
deep-learningtensorflow
timgaripov/sandpile
Feb 2015 - Mar 2015
Contributions:13 commits, 11 pushes, 2 branches in 11 days
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