Marina Meila is Professor of Computer Science at the University of Waterloo, and Affiliate Professor of Statistics at the University of Washington. She holds a faculty position at the Vector Institute for AI and a Canada CIFAR Chair in AI. Her long term interest is in statistical learning, particularly the discovery of geometric and combinatorial structure in data, efficient algorithms, and developing guarantees and quantitative interpretations for unsupervised structure discovery with realistic knowledge about the data generating process. She has collaborated with scientists in applied inverse problems, materials science and theoretical chemistry. Meila holds a MS degree in Electrical Engineering from the Polytechnic Institute of Bucharest, and a PhD in Computer Science and Electrical Engineering from the Massachusetts Institute of Technology.