Prof. Richard D Braatz
Edwin R Gilliland Professor of Chemical Engineering
Associate Faculty Director, Center for Biomedical Innovation (CBI)
Primary DLC
Department of Chemical Engineering
MIT Room:
E19-551
Areas of Interest and Expertise
Process Systems and Control
Pharmaceutical Crystallization
Multiscale Systems Engineering
Applied Mathematics
Biopharmaceutical Manufacturing
Biopharmaceutical Manufacturing Systems Controls
Pharmaceutical Crystallization
Multiscale Systems Engineering
Applied Mathematics
Biopharmaceutical Manufacturing
Biopharmaceutical Manufacturing Systems Controls
Research Summary
Research is in applied mathematics and control theory and its application to manufacturing systems where the control of events at the molecular scale is key to product quality. Some specific applications include:
(*) Optimal design of pharmaceutical crystallizers that utilize process intensification to manufacture crystals of precisely controlled size and molecular structure;
(*) Multiscale modeling and design of nano- and microstructured polymeric materials that respond to internal or external stimuli to spatially control the release of macromolecules;
(*) Control of molecular systems and nanodevices, from molecular clustering on surfaces to carbon nanotube-based nanobiosensors.
(summary updated 11/2011)
(*) Optimal design of pharmaceutical crystallizers that utilize process intensification to manufacture crystals of precisely controlled size and molecular structure;
(*) Multiscale modeling and design of nano- and microstructured polymeric materials that respond to internal or external stimuli to spatially control the release of macromolecules;
(*) Control of molecular systems and nanodevices, from molecular clustering on surfaces to carbon nanotube-based nanobiosensors.
(summary updated 11/2011)
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Projects
September 12, 2023Department of Chemical Engineering
Center for Battery Sustainability (CBS)
Principal Investigators Martin Bazant , Richard Braatz
September 7, 2011Department of Chemical EngineeringBraatz Group
Principal Investigator Richard Braatz
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Video
07.16.24-TokyoLifeScienceSymposium_ADigitalTwinforContinuousmRNAManufacturingy_RichardBraatz
This presentation describes a digital twin that is being developed for end-to-end continuous manufacturing of mRNA biotherapeutics. Mechanistic models are being constructed for all unit operations. These dynamic models are integrated with models for constraints, uncertainties, and disturbances to form a digital twin for automated, integrated continuous manufacturing. The digital twin is suitable for (1) evaluation and validation of mechanistic hypotheses to gain mechanistic understanding, (2) comparison of multiple process flowsheet options, (3) optimization of individual unit operations and their control systems, (4) the design of end-to-end operations, and (5) the real-time operation alongside plant operations. Experimentally validated results are presented for multiple unit operations. 07.16.24-TokyoLifeScienceSymposium_ConnectingwiththeMITInnovationEcosystemPanel Discussion
Panel Discussion: Connecting with the MIT Innovation Ecosystem 11.15-16.23-RD-Braatz
Recent Advances in the Manufacturing of mRNA Biotherapeutics 4.12.22-Health-Science-Braatz-Nguyen
Richard Braatz
Gilliland Professor, Chemical Engineering
Faculty Research Officer
Tam Nguyen
Ph.D. student in chemical engineering at MIT3.4.21-Future-Manufacturing-Roundtable
Brian Anthony
Associate Director, MIT.nano
Faculty Lead, Industry Immersion Program in Mechanical Engineering
David E. Hardt
Ralph and Eloise Cross Professor, Mechanical Engineering
Professor, Engineering Systems
Richard Braatz
Gilliland Professor, Chemical Engineering
Faculty Research Officer
Katrin Ellen Daehn
Postdoctoral Associate, Department of Materials Science and Engineering
Craig R Karasack
Technical Director of Ergonomics and Manufacturing Technology
Risk Control Services, Liberty Mutual Insurance
Kurt Bettenhausen
Member of the Board for New Technologies and Development, HARTING Technology Group2021-Future-Manufacturing-Richard-Braatz
Richard Braatz
Gilliland Professor, Chemical Engineering
Faculty Research OfficerAI in LIfe Science 2018 - Richard Braatz
Robust Data Analytics in Biopharmaceutical Manufacturing
Although process data analytics is a valuable tool for improving the manufacturing of biologic drugs, selection of the best method requires a substantial level of expertise. This talk describes a robust and automated approach for process data analytics tool selection that allows the user to focus on goals rather than methods. The approach first applies tools to automatically interrogate the data to ascertain its characteristics, e.g., nonlinearity, correlation, dynamics. This information is then used to select a best-in-class process data analytics tool. The approach is demonstrated for industrial data for the manufacturing of a monoclonal antibody.
2018 MIT AI in Life Sciences and Healthcare Conference