Jan Bölts
Guest Researcher at Technical University of Munich
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Biography
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I am a PhD student in the mackelab at University of Tübingen working on the intersection of machine learning and neuroscience. I have a background in Cognitive Science (BSc) and Computational Neuroscience (MSc) and discovered my passion for Bayesian statistics and machine learning during my masters. Since then I am developing probabilistic machine learning tools and applying them to problems in computational neuroscience.
My research focus lies on simulation-based inference (SBI), a method to perform Bayesian inference in simulation-based models like they often occur in astrophysics, economics, biology, neuroscience and many other fields. I am one of the core developers of sbi, a Python toolbox for SBI (link to paper). At the moment I am particularly interested in hierarchical inference, model misspecification and model comparison in SBI. Please contact me for questions and dicussions.
Interests
- Bayesian inference
- Simulation-based inference
- Probabilistic programming
- Bayesian deep learning
Education
- PhD in Machine Learning, present - University of Tübingen
- MSc in Computational Neuroscience, 2018 - Technical University Berlin
- BSc in Cognitive Science, 2015 - University of Osnabrück
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