Jacqueline M. Wolfrum

Placeholder Person Graphic
MIT Center for Biomedical Innovation
Codirector of Biomanufacturing@MIT-CBI
Jacqueline M. Wolfrum is the Codirector of Biomanufacturing@MIT-CBI at the MIT Center for Biomedical Innovation. She also directs BioMAN, an industry-academic consortium focused on innovations and best practices in biomanufacturing, and she manages research activities focused on data analytics in biomanufacturing, continuous manufacturing, and cell therapy manufacturing. She was the inaugural Senior Program and Partnerships Advisor for the National Institute for Innovation in Manufacturing Biopharmaceuticals. Jacqueline has industrial experience in cell-based therapies, including research and development of a cell-based hybrid artificial pancreas device at W. R. Grace & Co. and validation and commercialization of autologous cell therapies at Genzyme Tissue Repair/Biosurgery. She has an SB in chemical engineering from MIT and a PhD in biomedical engineering from Rensselaer Polytechnic Institute.

Related Articles

Effect of Industry 4.0 enablers on the product life cycle.
Features
Data Science for Pharma 4.0™: Drug Development, & Production—Part 2

This second of a two-part series explores digital transformation and digitalization in the biopharmaceutical industry with information about how data science enables digitalization along the product life cycle. (Part 1 was published in the March-April 2021 issue of Pharmaceutical Engineering.1

  • 1Herwig, C., et al. “Data Science for Pharma 4.0™, Drug Development, and Production—Part...
Effect of Indutry 4.0 enablers on the manufacturing process chain. Upper arrow: Conventional approach. Lower arrow: Perceived extended process chain using IIoT enablers.
Features
Data Science for Pharma 4.0™, Drug Development, & Production—Part 1

Digital transformation and digitalization are on the agenda for all organizations in the biopharmaceutical industry. But what are the main enablers of intelligent manufacturing? We hypothesize that data science–derived manufacturing process and product understanding is the main driver of digitalization in the bioprocessing industry for biologics manufacturing. In this article, the first of a...