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Ruben Seyer

Doctoral Student

Applied Mathematics and Statistics
Visiting address
Chalmers Tvärgata 3
41296 Göteborg
Postal address
41296 Göteborg

About Ruben Seyer

My interests lie at the intersection of Bayesian inference and machine learning, where I will work on computational methods for statistics. I am particularly interested in applications within spatial statistics and point processes. Thus far I have focused on stochastic gradient methods and piecewise deterministic Markov processes.