Tim Nies

GreenSloth provides a curated database and platform for mechanistic photosynthesis models, enabling model discovery, comparison, and reuse through an open-source framework.

MxlPy is a Python package that combines mechanistic modelling with machine learning to provide explainable, data-informed solutions for biological research.

The paper presents strategies to split microbial metabolic equations into anabolic and catabolic components and evaluates their thermodynamic efficiency.

The paper uses a mathematical model to study how external conditions affect control over carbon fixation in photosynthesis.

The paper introduces modelbase, a Python package for building and analyzing dynamic mathematical models of biological systems, with features for ODE assembly and isotope-specific modeling.