Present team

A list of my co-authors is available here and previous members of the team are listed here


Postdocs

Jalil Taghia (previously at Stanford University), variational inference, sampling based methods and deep learning.
Juozas Vaicenavi
čius (previously at UU, mathematics), deep learning for autonomous driving jointly with Veoneer.
Jack Umenberger (previously at University of Sydney), nonlinear system identification and optimization.
Koen Tiels (previously at 
Vrije Universiteit Brussel, Belgium), nonlinear systemidentification and optimization.
Andreas Lindholm (previously at UU, Machine Learning), machine learning applications and nonlinear inference.
Riccardo Sven Risuleo (perviously at KTH), Gaussian processes, dynamical systems.

PhD students

Thomas Schön is currently supervising the following PhD students:

Johan Wågberg (previously at Linköping University) Bayesian nonparametric models for learning of dynamical systems.
Carl Andersson  (previously at Uppsala University) Data-driven sequence learning using deep architectures.
Carl Jidling  (previously at Uppsala University) Gaussian processes and the optimization problems of large-scale probabilistic modeling.
Maria Bånkestad (previously at KTH) Deep non-parametric models. Industrial PhD student with RISE SICS. 
Fredrik Gustafsson  (previously at Linköping University) Uncertainty-aware deep learning for autonomous driving and medical imaging. 
Niklas Gunnarsson  (previously at Uppsala University) Learning to control in uncertain environments, magnetic resonace radiation therapy. WASP Industrial PhD student with Elekta.
Daniel Gedon (previously at Delft University of Technology, The Netherlands). 
WASP AI student starting in mid-August.

Thomas Schön is actively co-supervising the following PhD students:

Jan Kudlicka (previously at Zilina University, Slovak Republic) Thesis topic: Probabilistic programming and its application in phylogenetics.

Muhammad Osama (previously at Lahore University of Management Sciences, Pakistan) Thesis topic: Data-driven Spatio-temporal modelling and causal inference.

Visitors

Antônio RibeiroUniversidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil. September 2018 - December 2019. Working on the intersection of Machine Learning and Control.

 © Thomas Schön 2019