Michael Clear

Current bioprocess monitoring is limited to basic environmental proxies like pH and dissolved oxygen. Schmidt Sciences is changing this paradigm by adapting advanced physics for biology. This talk introduces three cutting-edge sensing platforms currently in development: fluorescent nanodiamonds, single-cell Raman spectroscopy, and non-invasive optical frequency combs. Join us to learn how these high-dimensional data streams are being integrated with machine learning to predict campaign outcomes and revolutionize how we monitor cell health at scale.

Standard bioreactors often lack the instrumentation required to rapidly monitor cell physiology, leaving critical gaps in our understanding of scale-up dynamics. This session presents active projects from the Schmidt Sciences’ Sensors for Biomanufacturing Program designed to address this challenge through novel sensing modalities. Spanning from near real-time intracellular measurements to non-invasive off-gas fingerprinting, the panel brings together technology developers and industrial bioprocess experts to discuss the translation of these tools from the lab to the plant floor. Together, we will critically evaluate the utility of high-dimensional metabolic data and explore the engineering requirements for integrating physics-based sensors and machine learning into existing biomanufacturing workflows.