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Thomas Millat

Postdoctoral Research Fellow, Faculty of Medicine & Health Sciences



Thomas is a physicist with a longstanding interest in dynamic modelling of complex systems focusing on their responses to various environmental changes. After he did his PhD in Theoretical Physics, he moved to the newly established Group of Systems Biology & Bioinformatics at the University of Rostock. Here, Thomas began to investigate the cellular adaptation to changing environmental and intracellular conditions, including signal transduction, genetic, proteomic, and metabolic regulation, using mathematical models. Additionally, he developed methods for systems identification, data analysis, and data processing. Since several years, he has been focusing on the systems biology of microorganisms, in particular the bacteria Clostridium acetobutylicum and Bacillus subtilis and the Baker's yeast Saccharomyces cerevisiae. He joined the Clostridial Research Group in October 2013. Thomas is currently working on the model-supported optimization of synthetic gas fermentation in Clostridium ljungdahlii.

Recent Publications

  • RUPERT O. J. NORMAN, THOMAS MILLLAT and KLAUS WINZER, 2018. Progress towards platform chemical production using Clostridium autoethanogenum Biochemical Society Transactions. (In Press.)
  • SCHATSCHNEIDER, SARAH, ABDELRAZIG, SALAH, SAFO, LAUDINA, HENSTRA, ANNE MEINT, MILLAT, THOMAS, KIM, DONG-HYUN, WINZER, KLAUS and MINTON, NIGEL, 2018. Quantitative isotope dilution high-resolution mass spectrometry analysis of multiple intracellular metabolites in Clostridium autoethanogenum using uniformly 13C-labelled standards derived from Spirulina Analytical Chemistry. (In Press.)
  • MILLAT T and WINZER K, 2017. Mathematical modelling of clostridial acetone-butanol-ethanol fermentation Applied Microbiology and Biotechnology. 101(6), 2251-2271
  • CHRISTINA KOSSOW, STEPHAN RYBACKI, THOMAS MILLAT, KATJA RATEITSCHAK, ROBERT JASTER, ADELINDE M. UHRMACHER and OLAF WOLKENHAUER, 2015. An explicit numerical scheme to efficiently simulate molecular diffusion in environments with dynamically changing barriers Mathematical and Computer Modelling of Dynamical Systems: Methods, Tools and Applications in Engineering and Related Sciences. 21(6), 535-559

School of Life Sciences

University of Nottingham
Medical School
Queen's Medical Centre
Nottingham NG7 2UH

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