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Tommi Jaakkola is the Thomas Siebel Professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). His research interests include machine learning, particularly methods related to inference, semi-supervised learning, information retrieval, reinforcement learning, and applications in natural language processing and computational biology. His contributions have advanced the understanding of generative models and diffusion processes in machine learning, with significant applications in protein structure generation and molecular simulations. Jaakkola's multidisciplinary approach leverages his foundational expertise in statistical learning and algorithm design to influence both theoretical and applied domains.