James Hensman

James holds a career development fellowship with the Medical Research Council. His research interests are Machine Learning methods for Biostatistics. He is especially in interested in approximate Bayesian inference, allowing efficient computation of models such as Gaussian processes, RNA-seq quantification and gene expression clustering.

For more details, see my personal web page