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Members of the Machine Learning group

Faculty members

Mattias Villani

Position: Professor of Statistics
Education: PhD in Statistics
Research interests: Bayesian learning, Probabilistic machine learning, Neuroimaging, Big data, Text Mining.



Arne Jönsson

Position: Professor of Computer Science
Education: PhD in Computer Science
Research interests: Models for readability, Automatic summarization, Big Data, Automatic FAQ.



Tom Ziemke

Position: Visiting Professor in Cognitive Systems
Education: PhD in Computer Science
Research interests: Robot learning, computational cognitive modeling, neural networks, decision support.



Jose M. Peña

Position: Associate professor in Computer Science
Education: PhD in Computer Science
Research interests: Probabilistic graphical models.




Oleg Sysoev

Position: Senior lecturer in Statistics
Education: PhD in Statistics
Research interests: Big data, Monotonic regression, Probabilistic machine learning, Computational Statistics, Optimization.


Lars Ahrenberg

Position: Professor of Computational Linguistics
Education: PhD in General Linguistics
Research interests: Statistical Machine Translation, Term Extraction, Bilingual Lexicon Extraction.



Patrick Lambrix

Position: Professor in Bioinformatics and Knowledge Engineering
Education: PhD in Computer Science
Research interests: Applied machine learning for Knowledge Engineering and Semantic Web problems.


Marco Kuhlmann

Position: Associate professor in Computational Linguistics
Education: PhD in Computer Science
Research interests: Machine Learning for Natural Language Processing, Bayesian Learning.



Rita Kovordanyi

Position: Associate professor in Cognitive Systems
Education: PhD in Computer Science
Research interests: Ontology learning, Temporal and spatial pattern recognition, Risk and safety, Decision making.



Anders Eklund

Position: Lecturer in Medical Informatics
Education: PhD in Medical Informatics
Research interests: High performance computing, GPGPU, Neuroimaging, Medical imaging, Deep Learning.



Assistant Lectures and Post Docs

Matias Quiroz

Position: Post doc in Statistics
Education: PhD in Statistics
Research interests: Bayesian learning, Big data, Bayesian approximate inference.



Marcus Bendtsen

Position: Post Doc in Computer Science
Education: PhD in Computer Science
Research interests: Probabilistic graphical models, Algorithmic trading.


Bertil Wegmann

Position: Post Doc in Statistics
Education: PhD in Statistics
Research interests: Bayesian Learning, Neuroimaging, Reinforcement Learning.


PhD Students

Johan Falkenjack

Position: PhD student in Computer Science
Education: MSc in Computer Science
Research interests: Natural Language Processing, Text Analysis, Readability Assessment.



Robin Keskisärkkä

Position: PhD student in Computer Science
Education: MSc in Cogntive Science
Research interests: Semantic Complex Event Processing, Decision Support, Stream Processing, Text Mining.



Mattias Tiger

Position: PhD student in Computer Science
Education: MSc in Computer Science and Engineering
Research interests: Robot Learning, Bayesian Learning, Gaussian processes.



Per Sidén

Position: PhD student in Statistics
Education: MSc in Engineering Mathematics
Research interests: Neuroimaging, fMRI, Bayesian learning.




Robin Kurtz

Position: PhD student in Computer Science
Education: MSc in Computational Linguistics
Research interests: Parsing, Statistical Machine Translation.




Josef Wilzén

Position: PhD student in Statistics
Education: BSc in Statistics
Research interests: Neuroimaging, fMRI, Bayesian learning.




Héctor Rodriguez Déniz

Position: WASP PhD student in Statistics
Education: MSc in Statistics and Machine Learning
Research interests: Bayesian Learning, Transportation Research.



Caroline Svahn

Position: WASP Industrial PhD student in Statistics
Education: MSc in Statistics and Machine Learning
Research interests: Probabilistic Machine learning for 5G Networks.



Olov Andersson

Position: PhD student in Computer Science
Education: MSc in Computer Science and Engineering
Research interests: Robot Learning, Gaussian processes, Bayesian inference.




Page responsible: Mattias Villani
Last updated: 2018-10-17