Present team

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


Researcher

Lawrence Murray, Sequential Monte Carlo, MCMC and programming language development. Working in the ASSEMBLE project.

Post-doc

Niklas Wahlström, working on Deep Learning and in particular deep reinforcement learning.

PhD students

Thomas Schön is currently supervising the following PhD students:

Christian Andersson Naesseth Thesis topic: Sequential Monte Carlo for general models.
Johan Wågberg Thesis topic: Bayesian Nonparametric models for system identification.
Andreas Svensson Thesis topic: Sequential Monte Carlo and Gaussian processes for nonlinear system identification.
Carl Andersson Thesis topic: Deep learning.
Carl Jidling Thesis topic: Gaussian processes and the automation of probabilistic modeling.

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

Jan Kudlicka, Thesis topic: Sequential Monte Carlo and probabilistic programming.

 © Thomas Schön 2017