Benjamin M. Marlin

Assistant Professor

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Professor Marlin's research interests lie at the intersection of artificial intelligence, machine learning and statistics. Professor Marlin's current research explores the development of novel machine learning models and algorithms in a number of application areas including health and behavioural science. He is particularly interested in hierarchical, probabilistic graphical models and approximate inference and learning techniques including Markov Chain Monte Carlo and variational Bayesian methods.