Research agenda

Biomedical Data Science and Systems Modeling 

The lab's research aims to pioneer the integration of quantitative systems models with AI/machine learning approaches to uncover novel therapeutic strategies for cancer treatment. With a focus on deep learning techniques, we seek to seamlessly integrate large-scale datasets with patient outcome data, thereby elucidating intricate tumor dynamics and therapeutic responses. 

  • Leverage innovative technologies like single-cell sequencing and deep learning
  • Unravel the complexities of cancer biology and identify clinically relevant insights

We foster interdisciplinary collaboration through open communication and talent development, ensuring alignment among scientists across various fields. With a commitment to effective project management, our ultimate goal is to translate cutting-edge research findings into measurable improvements in patient outcomes, thereby advancing the forefront of cancer therapeutics.

Prof. Dr. Andreas Raue
Chair of Modeling and Simulation of Biological Processes
Department of Computer Science

Page under construction

Contact details

Chair of Modeling and Simulation of Biological Processes

Building A, 2nd floor, A002

Gutenbergstraße 7

86356 Neusäß


Office hours:  By appointment


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