Charles Sutton

Lecturer (== US Assistant Professor)
School of Informatics
University of Edinburgh

Publications

Office: IF 3.26
Voice (W): +44 (0) 131 651 5634
Skype: casutton (calls forward to my mobile)
Email: csutton@inf.ed.ac.uk

Me and My Research

Computer systems not only process more data than ever before, but are also a source of data, in particular, data that concern their own operation. My research aims at new statistical machine learning methods designed to handle data about the operation and performance of large-scale computer systems. The ultimate goal is to improve techniques for developing, managing, and debugging computer systems. I believe that this is a rich source of applications that make fundamentally new demands on learning algorithms, encouraging the development of new machine learning methods.

Also, I maintain an interest in natural language processing, including structured prediction methods, conditional random fields, and graphical modeling approches to NLP.

Although these applications are disparate, they are connected by an underlying statistical methodology. I tend toward approaches based on probabilistic models whose parameters or structure can be estimated from data, often relying on techniques for approximate inference in graphical models.

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

Recent Publications

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

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

Courses

Advisors, Mentors, Collaborators

News

Software I Write

Software I Use

Here is a list of low-cost and open-source software that I enjoy using.

Personal