Mina Konaković Luković incorporates machine learning techniques into digital fabrication.

David Cox is the VP for AI Models at IBM Research and the IBM Director of the MIT-IBM Watson AI Lab. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the Lab’s work in neuro-symbolic AI and other key areas, while leading the Lab’s IBM team in Cambridge, MA.

Dr. Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab, and director of strategic industry engagement in the MIT Schwarzman College of Computing. She is a senior research scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), where she leads research in neuroscience, computer vision, and machine learning.

Gabriele Farina is interested in solid theoretical and algorithmic foundations for learning and computational decision-making under imperfect information, combining elements from game theory together with modern tools from machine learning, optimization, and statistics.

Tess Smidt’s research encompasses machine learning that incorporates physical and geometric constraints, with applications to materials design.

Chuchu Fan’s work lies at the intersection of control theory, machine learning, and formal methods, with a particular focus on safety in systems with nonlinear, high-dimensional, and difficult-to-model dynamics.