Prof. Dr. Andreas Schuppert
Computational Biomedicine, Disease Modeling
JRC for Computational Biomedicine
is a 100% RWTH/UKA institution, but with significant funding from industry (Bayer). Our research is dedicated on the development of computational tools which enable us to
- utlilize the world-wide available data in today’s (and even more tomorrows) data-rich world in biology and medicine
- to extract that relevant information with respect to clinical therapy outcome
- to realize precision medicine by stratification of patients wrt. optimal drug selection
- predict drug efficacy and risk of side effects in clinics from broad cell-based screening panels
- use the data from cell-based screening to learn the underlying biological modes of action for drugs
- model stress response / cross-talk of stress response effects in organisms (e.g. plants)
Expertise
- Disease modeling
- Translational & Cross species modelling
- Clinical patient monitoring and stratification
- Mathematical concepts for hybrid machine learning
Joint Interest
Experimental collaborators with interest in human disease and drug discovery, in particular in cancer, that generate large-scale data sets to address these questions, specially proteomic and drug-screenings.