Thomas Schön

Thomas Schön, Professor of Automatic Control at Uppsala University. Photo: Mikael Wallerstedt

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

[Registration for the SMC workshop 2017 and the associated intensive PhD course has now opened!] Sequential Monte Carlo (SMC) methods, also known as particle filters or particle methods, have over the past two decades emerged as very successful tools for computational inference in statistical models, including (but not limited to) nonlinear dynamical systems. The aim of the workshop is to bring together researchers developing and using SMC methods in various scientific fields (both in academia and industry). The list of speakers should make for a very interesting event; hope to see you there!

May 15, 2017 [Best paper award] Christian Naesseth received the best paper award at the 20th International Conference on Artificial Intelligence and Statistics (AISTATS). The award to given for this paper. Congratulations!! 

May 8, 2017 [3 new visitors] We have just welcomed three new visitors to the team. Professor Bhushan Gopaluni from the University of British Columbia in Vancouver (Canada) is visiting for two months, Dr Koen Tiels from the Vrije Universiteit Brussel (Belgium) is staying for 2 weeks. Finally, we have Tom Jin visiting from the Department of Statistics at Warwick University in Warwick (UK), where he is a PhD student within OxWaSp. Welcome!!

April 20, 2017 [New post-doc] I am very glad to welcome Jalil Taghia to the team. Jalil is currently a post-doc at Stanford (Department of Psychiatry and Behavioral Sciences). He will be working on deep learning, variational inference and sequential Monte Carlo. In terms of applications he will be involved in a project that Fredrik Lindsten has together with Sectra.

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 © Thomas Schön 2017