Tommi Jaakkola

Tommi S. Jaakkola is a distinguished professor at MIT, with a background in theoretical physics (M.Sc. from Helsinki University of Technology, 1992) and a Ph.D. in computational neuroscience from MIT (1997). After a postdoctoral position in computational molecular biology, he joined the MIT EECS faculty in 1998. Jaakkola's research spans many areas of machine learning, statistical inference, and the development of algorithms for problems involving incomplete data. His applied research focuses on natural language processing, computational chemistry, and computational functional genomics. He leads multiple impactful projects, including work on interpretability in complex machine learning models and structured prediction through randomization