Research Interests

I found my passion in the field of computational systems biology that looks for network patterns to explain emerging properties of biological systems. Plants as sessile organisms provide a fantastic playground to study the interplay between molecular phenotypes and their effect on agriculturally relevant traits. As part of the CRC 1644  my group focus on the development of large-scale kinetic models that can be used to study constraints in phenotypic plasticity of metabolic traits and their relation to plasticity in growth.

Education

03/2015 – 02/2020          PhD, Systems Biology and Mathematical Modeling Group, Max Planck Institute of Molecular Plant Physiology, Germany

10/2012 – 05/2015          Master of Sc. Bioinformatics, University of Potsdam, Germany

10/2009 – 09/2012          Bachelor of Sc. Biology, Humboldt-University of Berlin, Germany

Awards

2020                                   Jeff Schell Price for best PhD thesis at Max Planck Institute of Molecular Plant Physiology

Teaching

Constraint-based modeling – MSc level

Data integration in cellular networks – MSc level

Publications

A Küken, H Treves, Z Nikoloski (Frontiers in Plant Science 2023)
A simulation-free constrained regression approach for flux estimation in isotopically nonstationary metabolic flux analysis with applications in microalgae
doi: 10.3389/fpls.2023.1140829