Analytics & Biosensing

As biopharmaceutical manufacturing processes become increasingly complex, the ability to accurately monitor and understand cellular behavior has become critical to improving productivity, product quality, and process consistency. Modern bioprocesses generate vast amounts of biological and operational data, yet many key metabolic and physiological changes remain difficult to observe in real time. Advanced analytical technologies offer new opportunities to transform biomanufacturing from a largely reactive process into a predictive and data-driven discipline, enabling more efficient development, optimization, and control of biological production systems.

Our research develops analytical, computational, and sensing technologies that provide deeper insight into complex biological systems and manufacturing processes. By integrating process analytical technologies (PAT), biosensors, multi-omics measurements, and data-driven modeling approaches, we seek to improve process understanding and enable real-time monitoring of cellular states and nutrient dynamics. These tools help bridge the gap between biological complexity and engineering decision-making, supporting the development of more robust, scalable, and intelligent biomanufacturing platforms.