Overview
Projects with Carl Henrik Ek on probabilistic machine learning — modelling and inference under uncertainty, with interests spanning Gaussian processes, Bayesian optimisation, and applications including climate science. Students usually bring a grain of an idea; projects are shaped in discussion. Further context is on Carl Henrik’s profile.
Projects in this theme
Machine Learning (Bayesian Methodology, Inference and Applications)
Supervisor: Carl Henrik Ek
Students interested to work with me should come up with a grain of an idea before reaching out. If there is a match I would be happy to discuss to flesh out the details and create a project out of it. I always believed that part of doing a project is coming up with ideas and angles ripe for exploration.
I am broadly interested in probabilistic machine learning and applications in climate science.
