Mathias Gotsmy

Hybrax simplifies hybrid bioprocess modeling by providing a framework that automates model setup and data handling, enabling reproducible and reusable models.

This paper introduces FBA-Hyb, a hybrid model integrating metabolic networks into bioprocess modeling, achieving higher predictive accuracy and stoichiometric consistency.

This paper uses dynamic control flux-balance analysis to optimize 2,3-butanediol production in E. coli, achieving high titer and productivity through simulation and experimental validation.

OptFed improves product-to-biomass yield in fed-batch bioprocessing by using dynamic nonlinear modeling to optimize feed rate and reactor temperature.

This paper improves dynamic flux balance analysis for fed-batch processes by reducing KKT constraints and adapting the algorithm to predict optimal process length and feeding profiles.

The paper introduces a normalization method, MIX, that combines pharmacokinetic and statistical approaches to correct size effects in metabolomic time series data, improving biomarker detection.