Eric von Lieres
Papers
7
Total Citations
182
H-Index
6
About
Eric von Lieres is a computational bioprocess engineer whose research sits at the intersection of chromatographic process optimization, high-throughput experimentation, and bioprocess automation. Working primarily within the fields of bioseparation and biomanufacturing, he has made significant contributions to model-integrated process development — a paradigm that combines mechanistic simulation with experimental data to accelerate and improve the design of industrial purification processes. Among his most recognized contributions is his work on high-throughput screening methodologies for chromatographic processes, demonstrating how model parameter determination can be streamlined using miniaturized, automation-compatible experimental formats (48 citations). His 2012 study on robotic cation exchange optimization (53 citations) stands as a landmark example of applying model-integrated approaches in real industrial settings. His technical reach extends into computational fluid dynamics, with notable work benchmarking iterative solvers for mass transfer problems in sphere packings using COMSOL (38 citations). Von Lieres has also pioneered frameworks integrating parallelized microscale cultivation, laboratory automation, and statistical design tools such as Kriging for phototrophic bioprocesses, reflecting a broader commitment to accelerating early-stage bioprocess development. His application of Monte Carlo methods for uncertainty quantification further highlights his dedication to rigorous, data-driven engineering methodologies.
Research Focus
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