Ioannis Mitliagkas
Staff Research Scientist at Mila - Quebec Artificial Intelligence Institute
Montreal, Quebec, Canada
Summary
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Senior🎓
Top SchoolIoannis Mitliagkas is a staff research scientist and associate professor based in Montréal with 12 years of experience at the intersection of statistics, machine learning, and computation. He holds a Ph.D. from UT Austin and combines academic leadership at Université de Montréal and Mila with industry research roles at Google DeepMind and Google Brain. As a Canada CIFAR AI Chair and former Element AI faculty fellow, he translates theoretical insights into impactful ML research and collaborative projects. Known for a curiosity-driven approach to statistical computation, he bridges rigorous theory and practical systems — a trait reflected in concurrent academic and industrial appointments.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering at The University of Texas at AustinMaster's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Technical University of Crete
English, Greek, German, French
Github Skills (9)
theory7
sgd7
machine-learning4
deep-learning4
momentum4
optimizer3
optimization3
auto-tuning2
tensorflow1
Programming languages (2)
Github contributions (5)
mitliagkas/theoretical-principles-for-deep-learning-UdeM-Mila-notes
Mar 2021 - Feb 2022
Scribed notes for the [IFT6085] Deep Learning Theory course at UdeM
Contributions:12 commits, 2 PRs, 11 pushes in 11 months
deep-learning-theorylearning-theorynotesdeep-learningmachine-learning
mitliagkas/mitliagkas.github.io
May 2014 - Aug 2021
Contributions:53 commits, 499 pushes, 1 comment in 7 years 4 months
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