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Prof. Tommi S Jaakkola
Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society
Primary DLC
Department of Electrical Engineering and Computer Science
MIT Room:
32-G470
(617) 253-0440
jaakkola@mit.edu
http://people.csail.mit.edu/tommi/tommi.html
Assistant
Teresa Coates Cataldo
(617) 452-5005
cataldo@csail.mit.edu
Areas of Interest and Expertise
Computational and Representational Issues in Machine Learning and its Applications
Statistical Inference
Applications to Molecular Biology (Protein Structure, Gene Identitication and Regulation)
Image Processing
Functional Genomics
Applications to Computational Biology and Information Retrieval
Artificial Intelligence
Computational Biology
Statistical Inference
Big Data
Research Summary
Research advances how machines can learn, predict or control, and do so at scale in an efficient, principled, and interpretable manner. Our research in machine learning extends from foundational theory to modern applications, focusing especially on statistical inference and estimation tasks that lie at the heart of complex learning problems. We design new methods, theory and algorithms so as to automate the use and generation of semi-structured data such as natural language text, images, molecules, or strategies. We apply and develop our algorithms to solve multi-faceted recommender, retrieval, or inferential tasks (e.g., biomedical), design and optimize molecules or reactions for the purpose of drug design, and to model strategic, game theoretic interactions.
Recent Work
Projects
July 1, 2020
Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic)
Interpretable and Transferable Prediction and Extraction Methods for Medical Reports
Principal Investigator
Tommi Jaakkola
January 25, 2017
Department of Electrical Engineering and Computer Science
Theory and Algorithms for Learning Perturbation Models
Principal Investigator
Tommi Jaakkola
Department of Electrical Engineering and Computer Science
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Principal Investigators
Regina Barzilay
,
Tommi Jaakkola
Related Faculty
Prof. Ahmad Bahai
Professor of the Practice
Frank Yi-Fei Wang
Graduate Student
Prof. Dimitri P Bertsekas
McAfee Professor of Electrical Engineering