Ulf Schmitz’s research focus is on RNA biology and systems medicine. He integrates in silico, in vitro and in vivo approaches in advanced interdisciplinary research. His team develops integrative systems medicine workflows along with tools and databases to identify and study interactions between RNAs and other molecules, mechanisms of gene regulation, and gene regulatory networks.

With the goal of achieving a deeper understanding of processes involved in disease emergence and progression, his projects focus on different cancer entities and possible avenues for therapeutic interventions and optimized treatment schedules.

Olaf Wolkenhauer's research combines data-driven modelling with model-driven experimentation, using a wide range of approaches, including machine learning, statistics, systems theory, and stochastic processes. He has extensive experience in developing systems theoretic concepts and developing algorithms, workflows, standards and software tools that support the analysis data with applications in biomedicine. A specific interest is in understanding the functioning of cells within a tissue and how such whole-part relationships can be used to identify principles underlying tissue (mal)functioning.

Julio Vera-González is a physicist working in medical systems biology since 2005. His expertise is in mathematical modelling, bioinformatics and network biology. He applies multi-criteria decision algorithms to patient classification and therapy assessment. His primary interest is the role of (non-coding) RNA regulation in the interplay between cancer and the immune system, as well as its impact on (immuno)therapy.