Fredrik Lindsten

Associate Professor

I am developing tools that can be used to extract valuable information from complex data sets. I am particularly interested in methods that can quantify and enable reasoning about the uncertainty associated with essentially all data.

I am an Associate Professor at the Division of Statistics and Machine Learning, Linköping University, Sweden.

I am interested in the interplay between statistics and machine learning, in particular how statistical methodology can be used to quantify and reason about the uncertainties in the predictions and decisions made by machine learning systems.

I have a PhD from Link√∂ping University from 2013. I worked as a Postdoctoral Researcher at the Department of Engineering, the University of Cambridge, UK, in 2014-2015 and as a Senior Lecturer at the Department of Information Technology, Uppsala University, Sweden, in 2016-2018. 

I have held visiting research positions at the Statistical Artificial Intelligence Lab at the University of California, Berkeley, USA (2012) and at the Department of Statistics, the University of Oxford, UK (2015).

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Juozas Vaicenavicius, David Widmann, Carl Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schön (2019) Evaluating model calibration in classification Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics

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