Jan Nagler studied physics in Kiel, Germany, before he went for his PhD (on dynamical systems, in particular problems in chaotic astrophysics) to Bremen, Germany. His scientific postdoctoral positions include Boston University, USA (research on networks and econophysics), the Max-Planck-Institute for Dynamics and Self-Organization, Goettingen, Germany, and ETH Zurich & ETH Risk Center, Switzerland.
Since 2016 he is the Vice Chair of the Physics of Socio-economic Systems Division of the German Physical Society.
His research includes the understanding and control of networked stochastic systems, with applications at the interface between physics, biology, and socio-economic systems, in particular game theory and phase transitions, ergodicity breaking and risk and survival in uncertain environments.
In 2018, Jan Nagler joined Frankfurt School and the Centre for Human and Machine Intelligence as the Head of the Deep Dynamics Group, which aims for a deep understanding of real-world system dynamics in finance, economics, ecology, physics and socio-technological systems, in particular networks and networked socio-economic systems.
The group tackles problems by combining cross-disciplinary explanatory (based on deep fundamental underlying mechanisms and principles) and predictive modelling (prediction using deep learning), while being deeply committed to an ethically aligned design of systems, in particular explanatory and socially responsible AI.
Machine Learning II