Marina Meila is a professor of statistics at the University of Washington. She earned her M.S. degree in electrical engineering from the Polytechnic University of Bucharest in 1985 and her Ph.D. in computer science and electrical engineering from the Massachusetts Institute of Technology in 1999. Meila held appointments at the Bucharest Research Institute for Computer Technology, the Polytechnic University of Bucharest and the Robotics Institute of Carnegie Mellon University. Her long-term interest is in machine learning and reasoning in uncertainty, for data with high dimensions and with algebraic and geometric structure. Doing “statistics as usual” for structured data is one of her current interests. Meila is an expert in unsupervised learning paradigms, such as dimension reduction and clustering, developing methods to obtain guarantees of quality and correctness in unsupervised learning.
- Machine learning and data science
- Unsupervised learning
- Connections between optimization, statistics and machine learning
- Connections between combinatorics and statistics