Prof. Dr. Andreas Schuppert

Prof. Dr. Andreas Schuppert

Faculty

Computational Biomedicine II

Mechanical Engineering

Member

Faculty

Research

Data Driven Modeling in Computational Biomedicine

Contact

Prof. Dr. Andreas Schuppert
Augustinerbach 2a, room 103
RWTH Aachen University
Schinkelstraße 2
52056 Aachen
Germany

Phone: +49(0)241 80 99202
e-mail: schuppert@aices.rwth-aachen.de

Lectures

  • Winter Term Systems Biology (Lecture, focus on medical applications)
    Systems Biology (Exercises and Practical course)
    Data driven modelling in CES and Biomedicine (Lecture)
  • Summer Term Data driven modelling in Computational Biomedicine (Seminar with practical course)

Education

  • Diploma in Physics and Economics
  • PhD in Mathematic

Professional Career

  • 07/88 - 03/98 Scientist at Corporate Research of Hoechst AG, Dept. of Scientific Computing and Molecular Modelling
  • 04/98 - 06/00 Head of Process-Engineering Software group at Bayer AG
  • 07/00 - 12/02 Head of Mathematical Models and Methods Development group at Bayer AG
  • 01/03 – 04/10 Head of Competence Centre “Computational Solutions” at Bayer Technology Services GmbH
  • 11/07 - to date Adjunct Professor for "Data based modelling in computational engineering sciences" at RWTH Aachen University (Faculty of Engineering &Faculty of Medicine (since 2012))
  • 05/10 - to date Key Expert “Industrial Mathematics” at Bayer Technology Services GmbH
  • 10/13 – to date Founding director of the Joint Research Center for Computational Biomedicine at RWTH and UKA Aachen

Research Interests

Big data approaches to biological network inference
Modelling plasticity for predicting resistance and adaptive treatment strategies for complex diseases
Hybrid modeling integrating machine learning and mechanistic models for bridging the gap between bench and clinics
Model inference of hybrid models from Big Data