Tommi S. Jaakkola

Tommi S. Jaakkola is the Thomas Siebel Professor of Electrical Engineering and Computer Science at MIT, with appointments in the School of Engineering and the Institute for Data, Systems, and Society. He leads a research group at the Computer Science and Artificial Intelligence Laboratory (CSAIL).

His research advances machine learning for efficient, principled, and interpretable learning, prediction, and control. Key interests include:

• Statistical inference and estimation
• Generative modeling for molecular design and natural language
• Game-theoretic interactions and strategic modeling
• Applications in biomedical domains and drug discovery

Recent publications demonstrate strong focus on diffusion models and flow-based methods for protein structure generation and molecular optimization, with increasing integration of physical principles and symmetries. His group actively publishes at top AI conferences (ICML, NeurIPS, ICLR) with significant biomedical applications.

Jaakkola advises numerous PhD students and has mentored graduates now at companies like Boltz PBC, DE Shaw, and Xaira. His CSAIL laboratory fosters interdisciplinary collaboration between computer science, biology, and chemistry to address complex biomedical challenges.