Systems Biology

CASUS contributes to understanding life and the organization of living matter. Future breakthroughs in the life sciences are catalyzed by algorithmic advancements. CASUS performs basic research to enable next-generation biology, personalized medicine, and mechanistic understanding and control of living systems. This includes:

  • virtual and augmented reality for the laboratory of the future
  • computational prediction and control of biological processes
  • learning and inference of computable models from microscopy data
  • biomedical data science and AI

Visualizations of predictive computer simulations of protein concentration fields in the endoplasmic reticulum, a complex-shaped 3D organelle in every eukaryotic cell responsible for protein and lipid synthesis. CASUS performs basic research to enable next-generation biology, personalized medicine, and mechanistic understanding and control of living systems.