Current PhD students - Main supervisor

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Josef Wilzén

PhD student in Statistics, Linköping University
Topic: Gaussian Process Models in Neuroimaging

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Per Sidén

PhD student in Statistics, Linköping University
Topic: Bayesian Spatial Models in Neuroimaging

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Héctor Rodríguez-Déniz

PhD student in Statistics, Linköping University
Topic: Spatio-Temporal Models for Transportation

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Parfait Munezero

PhD student in Statistics, Stockholm University
Topic: Particle Methods for Bayesian Dynamic Models

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Oscar Oelrich

PhD student in Statistics, Stockholm University
Topic: Bayesian Model Inference under Misspecification

Current PhD students - co-supervisor  

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Olov Andersson

PhD student in Computer Science, Linköping University.
Topic: Methods for Scalable and Safe Robot Learning

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Alireza Mohammadi Nodooshan

PhD student in Computer Science
Topic: Machine Learning for Security

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Sarah Alsaadi

PhD student in Statistics
Topic: Latent variable models

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Caroline Svahn

PhD student in Statistics
Topic: Machine Learning for 5G System - Control and Automation

Graduated PhD students - main supervisor

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Måns Magnusson

PhD in Statistics, Linköping University, 2018
Thesis: Scalable and Efficient Probabilistic Topic Model Inference for Textual Data
Currently post doc at Aalto University, Helsinki

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Matias Quiroz

PhD in Statistics, Stockholm University, 2015
Thesis: Bayesian Inference for Large Data Problems
Currently post doc at UNSW, Sydney

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Feng Li

PhD in Statistics, Stockholm University, 2013
Thesis: Bayesian Modeling of Conditional Densities
Currently Assistant Professor and Associate Dean at Central University of Finance and Economics, Beijing

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Bertil Wegmann

PhD in Statistics, Stockholm University, 2011
Thesis: Bayesian Inference in Structural Second-Price Auctions
Currently Senior Lecturer, Linköping University

Graduated PhD students - co-supervisor 

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Johan Falkenjack

PhLic in Computer Science
Thesis: Towards a Model of General Text Complexity for Swedish

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Roy Chandran

PhD in Computer Science, Linköping University
Thesis: An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting

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Christian Tallberg

PhD in Statistics, Stockholm University
Thesis: An Informed System Development Approach to Tropical Cyclone Track and Intensity Forecasting