Dr. Jörg Schaber

Leads the software development activities in a R&D group at a large pharmaceutical company. Develops innovative software and algorithms for efficient automated large-scale data analysis in production and development. Management of the interface between algorithm development, technical informatics and other R&D teams.

Heads an international and interdisciplinary research team modelling complex dynamic biochemical networks by a combination of computational, theoretical, and experimental methods. Develops novel image analysis software for fluorescent microscopy and integrates OMICS-data to derive mechanistic models of biochemical networks. Teaching of mathematical modelling of dynamic processes.

Mathematical modelling of dynamic biochemical networks using advanced optimization strategies. Teaching of mathematical modelling of dynamic processes. Several short-term stays at renowned international research institutes, including University of Gothenburg, Sweden, Universitat Pompeu Fabra, Spain and Virginia Tech, USA.

Development of computational tools for automated model generation and discrimination. Mathematical modelling of biophysical properties and dynamic stress regulation dynamics in yeast. Teaching of mathematical modelling of dynamic processes.

Analysis and simulation of evolutionary processes in endosymbionts of insects using whole genomes. Design and implementation of a genome database for endosymbionts. Establishing a bioinformatics group.

• Development, implementation und optimisation of dynamic models for calculating the length of the vegetation periods in Europe. • Development and implementation of a light transmission and absorption model for a comprehensive forest growth model. • Development and implementation of a database for phenological data.

Mathematische Modellierung, Dynamische Systeme, Partielle Differentialgleichungen, Datenbanken, Ökologie, Biophysik