Marina Meila
Professor Of Statistics
Waterloo, Iowa, United States
Summary
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Senior🎓
Top SchoolMarina Meila is a Professor of Statistics at the University of Washington with a 12-year focus on probabilistic machine learning and computationally aware methods that bridge computing and statistics. Trained as a Ph.D. in Electrical Engineering and Computer Science at MIT, she brings deep expertise in combinatorics, algorithms, and optimization to problems with high-dimensional and combinatorial structure. Her research emphasizes rigorous theory alongside practical algorithms for reasoning under uncertainty, positioning her work at the frontier of statistical learning and computer science. Based in Waterloo, Iowa, she combines academic leadership with a strong engineering mindset, often translating abstract probabilistic ideas into computationally feasible solutions. A lesser-known strength is her sustained interest in the interplay between discrete combinatorial techniques and scalable data analysis, which informs much of her methodological innovation.
12 years of coding experience
Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science at Massachusetts Institute of TechnologyPOLITEHNICA București National University for Science and Technology
English
Github Skills (4)
points10
manifold10
python8
machine-learning8
Programming languages (3)
Github contributions (5)
mmp2/dpmm-gmm
Oct 2015 - Feb 2017
Contributions:5 commits, 5 pushes, 1 branch in 1 year 4 months
mmp2/data-reduction-collab21
Apr 2021 - May 2021
Contributions:13 pushes, 1 branch in 10 days
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