Statistical learning plays a key role in many areas of science and industry. In today’s information age, vast amounts of data are being generated in many fields. How to learn and infer from data is a central question. The recent development in deep neural networks has further brought many new questions to statistical learning.

The statistical machine learning group at Northeastern is a group of faculty and students from the Khoury College of Computer Sciences. Research works of the group build off our traditional expertise in algorithms and network science. Topics that we are interested in include deep learning theory, machine learning with graphs, optimization, privacy, signal process, transfer learning, and fairness in machine learning.