David Nickel
Papers
1
Total Citations
104
H-Index
1
About
David Nickel is a leading researcher in bioprocess engineering and systems biotechnology, whose work centers on the development of advanced computational and experimental frameworks for accelerating bioprocess development. His major contributions lie in the integration of model-based experimental design, robotic automation, and real-time optimization to precisely characterize microbial growth kinetics. Nickel’s seminal 2016 paper, “Online optimal experimental re‐design in robotic parallel fed‐batch cultivation facilities,” has garnered over 100 citations and introduced a groundbreaking framework for the online, optimal re-design of experiments in parallel nonlinear dynamic processes. This work provides a systematic, resource-efficient solution for rapidly validating and refining macro kinetic growth models, dramatically reducing the experimental effort required for parameter estimation. By bridging the gap between theoretical modeling and high-throughput robotic platforms, Nickel has established a paradigm for “smart” bioprocess development that is both faster and more cost-effective. His research is highly influential for students and researchers seeking to harness automation and optimal experimental design to solve complex challenges in industrial biotechnology and synthetic biology.
Research Focus
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Top Papers
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