Tommi Jaakkola

Professor, Department of Electrical Engineering and Computer Science; Professor, Institute for Data, Systems, and Society (IDSS); Investigator, Computer Science and Artificial Intelligence Lab

Tommi Jaakkola is the Thomas Siebel Professor of Electrical Engineering and Computer Science and a member of MIT’s Computer Science and Artificial Intelligence Laboratory as well as the Institute for Data, Systems, and Society. His research focuses on how machines can learn, predict, and control in an efficient, principled, and interpretable manner. Jaakkola and his lab design new methods, theory, and algorithms to automate the use and generation of semi-structured data such as molecules, natural language text, images, or strategies. His applied research focuses on problems in molecular design and text analysis. His research interests include many aspects of machine learning, statistical inference and estimation, analysis and development of algorithms for modern estimation problems involving incomplete data sources. Jaakkola earned an MS in theoretical physics from Helsinki University of Technology and a PhD from MIT in computational neuroscience.

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