Benjamin Haby
Papers
4
Total Citations
107
H-Index
4
About
Benjamin Haby is a researcher specializing in bioprocess development, automation, and high-throughput microbial cultivation systems. His work sits at the intersection of bioengineering and data-driven process optimization, with a particular focus on advancing the efficiency of biomanufacturing through miniaturized and automated platforms. Haby's most influential contribution, "Integrated Robotic Mini Bioreactor Platform for Automated, Parallel Microbial Cultivation With Online Data Handling and Process Control" (2019, 59 citations), established a compelling framework for scaling experimental throughput without sacrificing analytical sophistication. By combining robotics with real-time data acquisition and process control, he demonstrated how parallel micro-scale cultivations can meaningfully compress development timelines. Building on this foundation, his 2018 work applying multivariate prediction to endopolygalacturonase production in a 48-reactor automated platform (28 citations) showcased how machine learning approaches can be integrated into early-stage bioprocess screening. His subsequent studies on conditional screening of both wild-type and knockout *Escherichia coli* strains in adaptive fed-batch systems further highlight his commitment to improving strain selection decisions early in development — a critical bottleneck in biomanufacturing. Together, his publications reflect a coherent research vision: making bioprocess development smarter, faster, and more predictive.
Research Focus
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Top Papers
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