Will’s research interests include scalable approximate inference for Gaussian processes (GPs) in spatio-temporal settings, their application in climate science, and the design of probabilistic programming frameworks which are tailored towards them.
He holds an MPhil in Machine Learning and Machine Intelligence from the University of Cambridge and an MEng in Engineering Mathematics from the University of Bristol, and was formerly a researcher at Invenia Labs in Cambridge.