Slide Differential Equation- and Data-driven Models in Life Sciences and Fluid Dynamics: An Interdisciplinary Research Training Group DAEDALUS RTG 2433 Slide Differential Equation- and Data-driven Models in Life Sciences and Fluid Dynamics: An Interdisciplinary Research Training Group DAEDALUS RTG 2433 Slide Differential Equation- and Data-driven Models in Life Sciences and Fluid Dynamics: An Interdisciplinary Research Training Group DAEDALUS RTG 2433 Slide Differential Equation- and Data-driven Models in Life Sciences and Fluid Dynamics: An Interdisciplinary Research Training Group DAEDALUS RTG 2433 Slide Differential Equation- and Data-driven Models in Life Sciences and Fluid Dynamics: An Interdisciplinary Research Training Group DAEDALUS RTG 2433

The main goal of DAEDALUS is the analysis of the interplay between incorporation of data and differential equation-based modeling, which is one of the key problems in model-based research of the 21st century. DAEDALUS focuses both on theoretical insights and on applications in life sciences (brain-computer interfaces and biochemistry) as well as in fluid dynamics. The projects cover a scientific range from machine learning, mathematical theory of model reduction and uncertainty quantification to respective applications in turbulence theory, simulation of complex nonlinear flows as well as of molecular dynamics in chemical and biological systems. DAEDALUS is a collaboration of Technische Universität Berlin, Freie Universität Berlin and Otto von Guericke University Magdeburg.

LATEST NEWS

Professor Wolf-Christian Müller new speaker of DAEDALUS

Professor Wolf-Christian Müller, who formerly acted as co-speaker, was appointed as the new speaker of DAEDALUS. The new co-speaker is Professor Gabriele Steidl, who recently became an associated PI at DAEDALUS. Congratulations to both.

[2020-10-21]

Welcome to our new associated PIs!

We recently admitted 5 new colleagues as additionally involved scientist. We welcome Professor Tobias Breiten (TU Berlin), Professor Cecilia Clementi (FU Berlin), Professor Abdulla Ghani (TU Berlin), Professor Gabriele Steidl (TU Berlin) and Professor Barbara Zwicknagel (TU Berlin) to our team!

[2020-10-21]

Professor Gitta Kutyniok accepted the position as Chair for Mathematical Foundations of Artificial Intelligence at Ludwig-Maximilians-Universität München

Congratulations to Professor Gitta Kutyniok. She has accepted the position as Chair for Mathematical Foundations of Artificial Intelligence at Ludwig-Maximilians-Universität München. Professor Kutyniok, who also has been chair at DAEDALUS, left DAEDALUS in order to fully concentrate on her new position. We very much thank her for the engagement and dedication she put into DAEDALUS and wish her all the best for her future.

[2020-10-01]