Alexander Mitsos

This study optimizes itaconic acid production by Ustilago maydis through co-feeding glucose and acetate, combining experimental data, design of experiments, and metabolic modeling.

This study fits the Kuznetsov model to 1472 cancer patients to predict tumor growth and shows it can extrapolate future dynamics.

The paper introduces a machine-learning workflow for analyzing promoter libraries to identify sequence design principles that predict gene expression activity.

The paper introduces updates to CellNOpt, a tool for building logic models from perturbation data and prior knowledge networks, including new methods and an interactive interface.