Charles Sutton

Reader (= Associate Professor)
School of Informatics
University of Edinburgh

Faculty Fellow, The Alan Turing Institute
Office: IF 3.26
Voice (W): +44 (0) 131 651 5634
Skype: casutton
Prospective Students
Advice for PhD Students
at Google Scholar
Software I Use

We're organizing a workshop at NIPS on Artificial Intelligence for Data Science. Deadline for Abstracts: 1 November. Please participate!

Me and My Research

My research concerns a broad range of applications of probabilistic methods for machine learning, including software engineering, natural language processing, computer security, queueing theory, and sustainable energy. Although these applications are disparate, they are connected by an underlying statistical methodology in probabilistic modelling and techniques for approximate inference in graphical models.

My research strategy is based on the idea that sufficiently difficult applications motive the development of new methodology. I aim to develop new machine learning methods based on this interplay of theory and practice.

I am part of a large machine learning group at Edinburgh. Here is some information for prospective students in the group.

My position is funded through the Scottish Informatics and Computer Science Alliance.

Recent Publications

My full list of publications is available. Or you might be interested in these recent highlights:

Some recent research projects include: Naturalize, a system for suggesting clear variable, parameter, and method names for programmers. Both an Eclipse plugin and continuous embeddings are available.

Finally, I have a collection of brief, tutorial-style research notes.


Students and Postdocs



Advisors, Mentors, Collaborators

Software We Write

Software I Use

Here are some software, Web apps, and iDevice apps that I enjoy using.

Also, I have a list of random software tips I have collected.