Scholar
David S. Leslie
Google Scholar ID: ev_o35QAAAAJ
Professor of Statistical Learning, Lancaster University
Citations & Impact
Citations
2,079
H-index
23
i10-index
39
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- His research on bandit algorithms is used by many of the world's largest companies to balance exploration and exploitation in real-time website optimization. He has held numerous roles at the Royal Statistical Society, including elected Council member, member of the long-term strategy group, member of the Academic Affairs Advisory Group, and chair of the Applied Probability Section, and member of the Research Committee.
Research Experience
- Led the EPSRC/NERC-funded Data Science of the Natural Environment (DSNE) project at Lancaster University and was a member of the NG-CDI project, funded by an EPSRC Prosperity Partnership with BT. Prior to joining Lancaster, he was a senior lecturer in the statistics group of the School of Mathematics, University of Bristol, where he was co-director of the EPSRC-funded cross-disciplinary decision-making research group. He was also a partner in the ALADDIN project, a large strategic partnership between BAE Systems and EPSRC, involving researchers from Imperial College, Southampton, Oxford, Bristol, and BAE Systems.
Education
- No specific educational background information provided.
Background
- Professor of Statistical Learning and Director of Engagement in the Department of Mathematics and Statistics at Lancaster University. Research interests include statistical learning, decision-making, and game theory.
Miscellany
- Currently an external examiner for Edinburgh University and Imperial College London. Previously, he was an external examiner at the University of Kent at Canterbury and the University of Leicester. He is a member of the Scientific Board of the Smith Institute.
Co-authors