Accelerating Product Development: The Industrial Shift to AI/ML-Driven Formulation
Schrödinger participated in a podcast hosted by Innovation Research Interchange on September 18th.
In this discussion, we explored the rapidly evolving role of modeling and machine learning in formulation design; from a supplementary tool to a driving force of innovation. Once considered a “nice to have,” computational modeling is now helping to replace costly and time-consuming physical experimentation, and accelerating product development across industries from CPG to aerospace to semiconductor.
We discussed how advances in AI/ML and physics-based simulations are enabling researchers to tackle 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 discussion sheds light on how digital tools are transforming the lab and the future.
Our Speaker
Jeffrey Sanders
Product Manager and Scientific Lead, Consumer Goods, Schrödinger
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.