Kaspar Märtens

Kaspar Märtens

Statistical machine learning, probabilistic inference, Gaussian Processes, multi-view learning

Kaspar is a DPhil student in the OxWaSP programme, supervised by Christopher Yau and Chris Holmes.

He has a broad interest in Bayesian statistics and machine learning. His PhD research focuses on developing probabilistic latent variable models as well as inference techniques with applications to biomedical data. He is currently working on extensions of Gaussian Process Latent Variable Models.

He is also an R enthusiast and organises the Oxford R user group meetings.