Richard D. Braatz

Richard D. Braatz is the Edwin R. Gilliland Professor and Professor of Chemical Engineering at the Massachusetts Institute of Technology (MIT). His research focuses on applied mathematics, control theory, data analytics, and their applications in pharmaceutical manufacturing, materials processing, and energy storage systems. Braatz leads interdisciplinary efforts in chemical engineering, integrating advanced computational methods with experimental systems.

• Education: Ph.D. (1993), M.S. (1991) from California Institute of Technology; B.S. (1988) from Oregon State University.
• Research: Specializes in battery technology, process control, biopharmaceutical manufacturing, and machine learning for industrial applications. Notable contributions include models for lithium-ion battery diagnostics, viral vector production optimization, and advanced process monitoring techniques.

Key Contributions

Braatz has pioneered methodologies for cycle life prediction of batteries, interpretable machine learning in biomanufacturing, and real-time process analytics. His work bridges theoretical frameworks with practical industrial challenges, emphasizing sustainable and efficient manufacturing.

Awards and Recognition

• Elected to the National Academy of Engineering (2019)
• AIChE Fellow (2018)
• John R. Ragazzini Education Award (2023)

Grants and Collaborations

Active in funding initiatives related to energy storage, biotech manufacturing, and control systems. Collaborates with industry partners on projects like continuous biopharmaceutical production and advanced battery management systems.