How do tissues respond to biomaterials — and how can these processes be predicted with precision? In this combined lecture and seminar course, you will dive deep into the mechanistic foundations of biomaterials and biological tissues and learn how to mathematically formulate and computationally model their complex interactions.

You will gain solid expertise in
✨ mechanistic models for biomaterials and tissues,
✨ mathematical and numerical methods for simulating relevant processes,
✨ modern surrogate modeling techniques such as Kriging, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs).

In the seminar component, you will apply these methods directly to current scientific questions, discuss modeling strategies, and develop your own approaches to problems in biomaterials research.

Prepare to not only understand biomaterial-based systems — but also to represent them virtually, predict their behavior, and optimize their performance. Become part of the future of computational biomedicine!