Science at FIAS
To research complex systems it is necessary for scientists from different research areas, to exchange their knowledge and to collaborate. FIAS scientists study experimental data or make siumulations to build better models of our world.Science at FIAS
Scientific advancement takes place not only in deeply specialized areas of expertise but especially at the interfaces of different disciplines.
Science for the world of tomorrow
As a platform for integrating the sciences, FIAS provides a foundation for decisive progress in research through cooperation, exchanging ideas, and overcoming structural barriers between the disciplines. About 180 scientists from more than 20 countries are doing research at FIAS.find out more about FIAS
Prof. Dr. Dr. h.c. mult. Wolf Singer
"As long as people intervene in the fate of the world, they are obliged to explore the wisdom. Otherwise, responsible action is not possible."
Dr. Hermann Cuntz
"Morphology is key to understanding both circuits and computation in the brain."
Prof. Dr. Hannah Elfner (Petersen)
"To understand the smallest building blocks of matter and their properties fascinates me and I enjoy the required international collaboration in this field."
Dr. Esteban Hernandez-Vargas
"Biologists and clinicians have generated a tremendous amount of data last decades, now is the time of computational biology to bring holistic understanding for improving health."
Prof. Dr. Armen Sedrakian
"My research is deeply focused on the interrelation between the particle physics and astrophysics, between the micro- and macro-worlds, on theories, models and methods that find applications in a multitude of research fields ranging from condensed matter to high-density quantum chromodynamics."
Theoretical physics is the discipline that aims at describing how the world works in terms of fundamental equations. The goal is to abstract explicit phenomena by reducing them to underlying principles that are responsible for many different manifestations in nature.
The brain is considered the most complex structure on earth. It is composed of a network of billions of nerve cells. Our goal is to understand how cognitive phenomena can arise from the collective interactions of these many neural elements.
Within the last decade high performance computers have become an integral part in todays science and society. Most simulations and experimental analysations of complex systems require a high amount of computing power.
Theoretical biology aims at a quantitative understanding of biological systems, their dynamics and interaction across scales. To this end new analysis approaches are developed to extract relevant information from either tera and petabyte sized data sets, or from very scarce data.
The latest financial crisis has painfully revealed the importance of a working financial system for the real economy. Our research takes an interdisciplinary approach drawing on expertise from machine learning, information theory and complex systems.