Thomas gustafsson uppsala

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Thomas Schön

Alumni - PhD

Mina Ferizbegovic (PhD Automatic Control, ) Dual control concepts for linear dynamical systems.[pdf]Supervisor: Håkan Hjalmarsson, Co-supervisor: Thomas Schön and Cristian Rojas.

Carl Jidling (PhD Machine Learning, ) Tailoring Gaussian processed and large-scale optimisation.[pdf] Supervisor: Thomas B. Schön, Co-supervisors: Adrian Wills and Niklas Wahlström.

Carl Andersson (PhD Machine Learning, ) Deep probabilistic models for sqeuential and hierarchical data.[pdf] Supervisor: Thomas B. Schön and Niklas Wahlström.

Muhammad Osama (PhD Machine Learning, ) Robust machine learning methods.[pdf] Supervisor: Dave Zachariah, Co-supervisor: Thomas B. Schön. Currently: Machine Learning engineer at Aptive, Dusseldorf, Germany.

Jan Kudlicka (PhD Computer Science, ) Probabilistic programming for birth-death models of evolution. [pdf] Supervisor: Johannes Borgström, Co-supervisor: Thomas B. Schön. Currently: Assistant Professor of Data Science at BI Norwegian Business School, Oslo, Norway.

Antonio Ribeiro (PhD Electrical Engineering, ) Learning nonlinear differentiable models for signals and systems:

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Thomas Gustafsson

Man60 år

Bröderna Berwalds Väg 57, Uppsala

Hemadress

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Thomas Schön
Our aim is to automate the extraction of knowledge and understanding from data. Allowing machines (and humans) to understand what is happening and to acquire new skills and learn new things. We achieve this by developing new probabilistic models and deriving algorithms capable of learnings these models from data. The systematic use of probability in representing and manipulating these models is key. It allows us to represent not only what we know, but to some extent also what we do not know. We take a particular interest in dynamical phenomena evolving over time.
Our research is multi-disciplinary and it sits somewhere on the intersection of the areas of Machine learning and statistics, signal processing, automatic control and computer vision. We pursue both basic and applied research, which explains our tight collaboration with various companies. A slightly more detailed overview of our research is available here.
Recent research results/news
December 20, [Two tenure track Assisstant Professorships available] In we are launching the Beijer laboratory for Artificial Intelligence. For this reason we have opened two tenure track Assistant Prof