Accelerating Product Development: The Industrial Shift to AI/ML-Driven Formulation
- Resource Type
- Audio Presentation/Podcast
- Publish Date
- 09/18/2025
- Author
- Innovation Research Interchange
- Topics
- Knowledge Management, Knowledge Transfer, Artificial Intellegence
- Associated Event
- Webinar: Accelerating Product Development: The Industrial Shift to AI/ML-Driven Formulation
Thought Leader Interview with Jeff Sanders
September 2025
In this discussion, we explore the fast-changing role of modeling and machine learning in formulation design, shifting from a supportive tool to a driving force of innovation. Once a “nice to have,” computational modeling is now reducing reliance on costly, time-intensive experiments and accelerating product development across industries, from consumer goods to aerospace and semiconductors. We’ll highlight how advances in AI/ML and physics-based simulations are helping researchers manage the growing complexity of real-world formulations, bridging the gap between theory and commercial products. Whether you’re a formulation scientist, data enthusiast, or R&D leader, this session sheds light on how digital tools are reshaping the lab and the future of product innovation..
Jeff Sanders received his B.S. in applied physics from Worcester Polytechnic Institute and then his Ph.D. in biophysics and molecular pharmacology from Thomas Jefferson Medical College. Since joining Schrödinger in 2013, he has served several roles. Jeff is currently the product manager and technical lead for the consumer packaged goods applications group. Additionally, he is a managing board member of the Food Engineering, Expansion, and Development (FEED) Institute, and also holds a faculty position in the Food Science Department at UMass Amherst.