Annina Kemmer
Papers
5
Total Citations
34
H-Index
3
About
Annina Kemmer is an emerging researcher at the intersection of bioprocess engineering, automation, and data-driven experimentation, with a focus on advancing high-throughput cultivation systems for biotechnology applications. Her work addresses one of the field's most pressing challenges: developing analytical and computational tools capable of keeping pace with the rapid sample generation of modern robotic bioprocess platforms. Kemmer's most influential contribution involves applying nonlinear state estimation as a tool for online monitoring and adaptive feeding strategies in high-throughput cultivations, work that has already accumulated nearly 20 citations across two related publications. She has further distinguished herself by designing a modular Workflow Management System built on Directed Acyclic Graphs to enable reproducible, interoperable self-driving experiments — directly confronting the reproducibility crisis in bioprocess development. Her innovative setup for automated Raman spectroscopy in high-throughput workflows and her model-based enzyme-mediated glucose release strategy for miniaturized fed-batch cultivations demonstrate a rare ability to bridge theoretical modeling with practical experimental design. Collectively, Kemmer's research is helping to define the infrastructure for next-generation autonomous bioprocess development, making her a noteworthy voice in the field for students and researchers pursuing intelligent bioprocessing solutions.
Research Focus
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Top Papers
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