Mark Schmidt

Mark works in the area of machine learning, which focuses on automatic discovery of patterns in large datasets. His theoretical focus is on the algorithms underlying these methods. He tries to make them scale up to huge datasets and work on developing generalizations that can model very complicated patterns. He has also worked on various practical applications, including several works on medical imaging. Mark is a Canada CIFAR AI Chair and Canada Research Chair in Large-Scale Machine Learning.