Becker Lab

We are a research group we aim to impact high-stake real-world problem settings at the intersection of medicine, environmental change, and human behavior through artificial intelligence and machine learning.

We develop novel approaches and methodology in close collaboration with practitioners and domain experts that enable unprecedented insights into complex systems. This allows us to directly impact real-world scenarios like local patient populations or ecosystems maximizing translational and synergetic effects of our work. In this context, the main focus of our group is threefold:

• understanding complex systems by extracting novel insights into their underlying processes,
• modeling complex systems by integrating existing domain knowledge into machine learning methods,
• and developing methods for knowledge management, representation, and interaction.

Our approaches range from multi-modal learning, network analysis, and exceptional model mining to Bayesian modeling, deep learning, representation learning, explainable AI, and human computer interaction.