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About

Terrance Wilms is a leading researcher in bioprocess engineering, specializing in the automation, optimization, and monitoring of high-throughput cultivation systems. His work bridges the gap between robotic liquid handling and advanced process control, enabling faster and more reliable bioproduct development. Wilms’ major contributions include the adaptive optimal operation of parallel robotic stations, where he demonstrated how iterative learning and real-time adjustments can robustly calibrate kinetic fermentation models despite uncertainties. He has also pioneered the use of nonlinear state estimation as a tool for online monitoring and adaptive feeding in high-throughput cultivations, allowing for precise, real-time control of fed-batch and continuous processes without the need for extensive analytical hardware. His most-cited paper (31 citations) on adaptive optimal operation of a robotic liquid handling station has become a foundational reference for integrating automation with model-based process control. With over 50 total citations, Wilms’ work is shaping the future of automated bioprocess development, making high-throughput experimentation more efficient and reproducible for industrial and academic applications.