The management team of IDAS steers the institute through consensus-decision making to ensure fair and transparent treatment of all stakeholders.
More than 60 members of Durham’s academic community form our academic network; in addition, we usually have between 10 and 20 researchers and students associated with the Institute
Name
Topic
Department
Charles Adams
Data Processing in Quantum Optics
Physics
Louis Aslett
Cryptography and Statistics
Mathematical Sciences
Simon Beaumont
ML for Nanoparticles
Chemistry
Carly Beckerman
Foreign Policy Analysis
School of Government and International Affairs
Toby Breckon
Computer Vision & Image Processing
Computer Science
Anthony Brown
Instrumentation & Remote Sensing
Chris Brown
Professional Learning Networks
School of Education
Trudi Buck
Biological & Forensic Anthropology
Anthropology
Camila Caiado
Bayesian Approaches to Modelling and Uncertainty Estimation
Patrice Carbonneau
Remote Sensing of River Landscapes
Geography
Rui Carvalho
Optimization Problems
Engineering
Paula Chadwick
Gamma Ray Astronomy
Paul Chazot
Physiology, Health & Wellbeing
Biosciences
Anca Chirita
Ethics of Data Science & Data Protection
Law School
Ryan Cooke
Deep Learning in Astronomy
Frank Coolen
Statistics
Tahani Coolen-Maturi
Helen Cramman
STEM Education
Alexandra Cristea
Innovative Computing
Jonathan Cumming
Director of Statistics and Mathematics Consultancy Unit
Lian Gan
Fluid Mechanics
Stefano Giani
HPC and Neural Networks
Mariann Hardey
Marketing
Business School
Chulwoo Han
Machine Learning in Finance
Ostap Hryniv
Probability
Ifan Hughes
Data Analysis in Quantum Physics & Technology
Aissa Ikhlef
Wireless Communication
Ian Jermyn
Statistical Modelling of Geometry
Georgios Karagiannis
Arze Karam
Finance
Dan Lawrence
Air-Based Archeology
Archeology
Peter Matthews
Remote Sensing for Wind Turbines
Budhika Mendis
Imaging and Spectroscopic Data Acquisition
Amir Michael
AI in Accounting and Auditing
Riccardo Mogre
Operations Management
Peder Norberg
Extragalactic Astronomy
Kieran O'Brien
Astronomy & Instrumentation
Rachel Oughton
Uncertainty in Computer Models, Bayesian emulation
Earth Sciences
Lena Riabinina
Imaging & Behavioural Data
Pierre Schammo
Data Science in the Corporate Sphere
Lei Shi
Learning Analytics for MOOCs
Ian Smail
Machine Learning in Galaxy Surveys
Craig Stewart
Personalised Computer Systems/Personalised Learning
Sally Street
Cognition & Culture
Anthroplogy
Donald Sturgeon
Digital Humanities
Hongjian Sun
Smart Grid
Abderrahim Taamouti
Economics
Laura Turnbull-Lloyd
Climate Change
Peter Tymms
Assessment & Monitoring
Jeroen van Hunen
Tectonics & Earth Quakes
Ian Vernon
Bayesian Statistics and Uncrtainty Analysis of Computer Model of Complex Systems
Andrew Wade
Probability & Statistics
John Wainwright
Physical Geography
Qing Wang
Energy & Infrastructure
Claire Warwick
English Studies
Tobias Weinzierl
High-Performance Computing
Peter Wyper
Magnetohydrodynamics
Anthony Yeates
Alastair Basden
Technical Manager of COSMA HPC
Anke Biekoetter
Multi-parameter optimization in particle physics
Dario Domingo
Uncertainty Quantification
Peter Etchells
Genetic and Genomic Tools in Plant Biology
Helen Gray
Assessment and Evaluation in Education
Ehsan Kharatikoopaei
Biostatistics, Clinical Trial Analysis
Frank Krauss
Professor in the Institute for Particle Physics Phenomenology, Royal Society Wolfson Fellow
James Nightingale
Bayesian Inference for Analysis of Gravitational Lensing
Cameron Rulten
Databases for Gamma-Ray Astronomy
Akansha Singh
Germaine Uwimpuhwe
Statistics, Data Mining
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