Professor Chris Williams


“Probabilistic Modelling allows us to draw inferences and make predictions in the presence of noise and uncertainty that characterise real-world problems.”

Chris Williams is Professor of Machine Learning in the School of Informatics at the University of Edinburgh.

He works on probabilistic modeling and image understanding. This involves the development of new models, algorithms and their applications, often for problems in healthcare.

He is well known for the book “Gaussian Processes for Machine Learning” co-authored with Carl Rasmussen that was awarded the 2009 DeGroot prize.

Chris will work with Proteus to employ data inference techniques to find predict the concentration of pathogens present based on the Proteus biological probes and measurements.