Yannick J. Bomble

This paper engineers Clostridium thermocellum to produce 2,3-butanediol from cellulose, achieving a titer of 19.7 mM with a metabolic yield of 24%.

This study uses advanced microscopy and clustering methods to analyze cellulosome distribution in C. thermocellum during growth on different substrates, supporting theories about their role in biomass deconstruction.

The paper uses machine learning models to analyze sequence and structural data of GT-B enzymes to identify factors determining substrate specificity.

This study uses cryo-EM and molecular dynamics to characterize AdhE ultrastructures in C. thermocellum, revealing a containment strategy for toxic intermediates in ethanol synthesis.

This paper uses Bayesian inference with linear-logarithmic kinetics to efficiently estimate parameter uncertainty in metabolic models from multiomics data.