Dr. Stephan Schaller

Dr. Stephan Schaller

Advisor / Co. Advisor

Prof. Schuppert / Prof. Marquardt

Dissertation

Closed-Loop Blood Glucose Control using Physiology-Based Model Kernels

Contact

Dipl.-Ing. Stephan SchallerStephan Schaller
Aachen Institute for Advanced Study
in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2
52062 Aachen

Tel. +49214 30 47792
Fax -
Email stephan.schaller[at] bayer.com

Education

since 04/2010 Doctoral student at Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen
10/2004 - 10/2009 Diploma in Engineering Cybernetics, University of Stuttgart, Germany

Professional Career

since 04/2013 Biological Modeling Expert
Bayer Technology Services GmbH, Leverkusen, Germany
10/2009 - 02/2010 Research Engineer in Metabolic Engineering

Insilico Biotechnology AG, Stuttgart, Germany
01/2007 - 02/2008
Student assistant systems administrator for Porsche Service and Production System

samtec GmbH, Stuttgart, Germany

Research Interests

Nonlinear Systems Theory & Automatic Control, Systems Identification, Numerical Optimization, Biomedical Modelling, Pharmacology, Life Science, Disease Modelling, Diabetes

Project Outline: Closed-Loop Blood Glucose Control using Physiology-Based Model Kernels
The main objective of my research is the development and evaluation of suitable methods for Automatic Glycaemic Control (AGC). The control of blood glucose within the human body is managed by a complex system involving neuronal, hormonal and metabolic signalling networks. However, the body’s autonomous control of blood glucose is strongly impaired in patients with Diabetes Mellitus and glucose levels start to spiral out of control exposing patients with diabetes to risks associated with high and low blood-sugar. Thus, good control of diabetes may alleviate these risks for most patients. Towards this goal, automated, controlled insulin delivery concepts are an active area of research aiming for an artificial/technical substitution of the natural regulatory system missing in diabetes patients. More specific, a closed-loop control algorithm where continuously measured glucose levels will be used to automatically calculate an optimized insulin dose that has to be delivered by an external insulin pump to the patient’s body, taking into account the physiological data from clinical studies on diabetes patients. To overcome known hurdles and shortcomings of state-of-the-art closed-loop concepts my work shall combine several control concepts with mechanistic physiology-based models of glucose-uptake, insulin-delivery and glucose-insulin interaction. A particular focus will lie on the development of the physiology-based models.

Publications

Papers

S. Schaller, S. Willmann, J. Lippert, L. Schaupp, T.R. Pieber, A. Schuppert and T. Eissing: A Generic Integrated Physiologically based Whole-body Model of the Glucose-Insulin-Glucagon Regulatory System. CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e65; doi:10.1038/psp.2013.40

S. Schaller, S. Willmann, L. Schaupp, T. Pieber, A. Schuppert, J. Lippert, T. Eissing: A New Perspective on Closed-Loop Glucose Control Using a Physiology-Based Pharmacokinetic / Pharmacodynamic Model Kernel. IFAC Paper, 8th IFAC Symposium on Biological and Medical Systems, Budapest, Hungary, 2012; doi:10.3182/20120829-3-HU-2029.00111

Talks

S. Schaller, T. Eissing, L. Schaupp, T. Pieber, A. Schuppert and J. Lippert: Closed-Loop Insulin Delivery Using a Physiology-Based Pharmacokinetic / Pharmacodynamic Model Kernel. 6th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD), Paris, France, 2013

S. Schaller, M. Block, T. Eissing: The REACTION platform–Improving long-term Management of Diabetes-Personalized Diabetes Therapy and Automatic Blood Glucose Control. Medicine with SOA, Grid, and Cloud - transmed.infinity-3.de

S. Schaller, S. Willmann, L. Schaupp, T. Pieber, A. Schuppert, J. Lippert, T. Eissing: A New Perspective on Closed-Loop Glucose Control Using a Physiology-Based Pharmacokinetic / Pharmacodynamic Model Kernel. 8th IFAC Symposium on Biological and Medical Systems, Budapest, Hungary, 2012

S. Schaller, S. Willmann, L. Schaupp, T. Pieber, A. Schuppert, J. Lippert and T. Eissing: A physiologically-based PK/PD model to capture population variability for diabetes research and automatic blood glucose control. PAGE Meeting, Venice, June 6, 2012

Posters

S. Schaller, T. Eissing, L. Schaupp, T. Pieber, A. Schuppert and J. Lippert: Closed-Loop Insulin Delivery Using a Physiology-Based Pharmacokinetic / Pharmacodynamic Model Kernel. 5th International Conference on Advanced Technologies & Treatments for Diabetes (ATTD), Barcelona, Spain, 2012