Applying microbial system principles to challenges ranging from renewable chemical production to microbiota-associated diseases
I am passionate about translating recent advances in microbial metabolic modeling to industrial practice. I believe that in silico modeling can accelerate innovation and expand applications of microbial technologies that benefit society.
About In Silico FermentationDynamic metabolic models for fermentation process simulation, estimation, control and optimization
Combined metabolic-transport models of bubble column bioreactors for upgrading waste gases to platform chemicals
Multispecies metabolic models to design, simulate and optimize microbial consortia for diverse bioconversion applications
Spatiotemporal metabolic models to predict species organization and interaction in natural and engineered biofilms
Community metabolic models to translate measured taxa compositions into predicted metabolic capabilities
Sample-specific metabolic models to differentiate healthy and disease states in diverse human microbiomes
Founder and Principal
February 28, 2024
Early this month, In Silico Fermentation released MediumFBA version1.0, a freely downloadable MATLAB application for genome-scale metabolic modeling. MediumFBA is a GUI tool which generates growth media that ensure monoculture growth of all strains through a simple and intuitive workflow. We are gratified that MediumFBA already has over 60 downloads. Based on initial user feedback, […]
February 4, 2024
In Silico Fermentation is pleased to announce the release of MediumFBA version1.0, a freely downloadable MATLAB application that integrates the medium design and flux balance analysis (FBA) problems to facilitate in silico metabolic analyses. MediumFBA is a GUI tool which generates growth media that ensure monoculture growth of all strains where the metabolic properties of […]
October 20, 2022
Flux Balance Analysis (FBA) has proven to be a very valuable tool for predicting microbial metabolism. However, FBA neglects dynamic process behavior and does not provide predictions of extracellular variables. Both these capabilities are critical for fermentation process modeling. Dynamic flux balance modeling is a powerful extension that combines steady-state cell metabolism with extracellular dynamics […]
