Our people

Mr Nathaniel Byrne

Turing University Liaison Manager

N.Byrne@bham.ac.uk

Nathaniel (Nat) manages the administrative aspects of the University’s relationship with the Alan Turing Institute including all matters related to grants, contracts, and events. Nat is seconded part-time from the College of Medical and Dental Sciences Research Support Office, where he retains a 50% appointment.

Ms Kim Ekste

Data Study Group Project Manager

K.S.M.Ekste@bham.ac.uk

Kim is the project manager for the Data Study Group (DSG) that the Institute is running in collaboration with the Alan Turing Institute. Kim is seconded part-time to this role from the College of Engineering and Physical Sciences Business Engagement Team. The DSG will bring together researchers from across the Turing network to work intensively on six challenges posed by industry partners.

Classics, Ancient History and Archaeology

• Professor Henry Chapman – Digital heritage

English Language and Linguistics

• Professor Dagmar Divjak - Cognitive Linguistics
• Professor Jack Grieve – Corpus Linguistics
• Dr Nicholas Groom – Corpus Linguistics
• Professor Susan Hunston – Corpus Linguistics
• Professor Michaela Mahlberg – Corpus Linguistics
• Dr Akira Murakami – Corpus Linguistics
• Dr Paul Thompson – Corpus Linguistics
• Dr Bodo Winter – Cognitive Linguistics

English Literature

• Dr Dorothy Butchard – Digital Cultures
• Dr Matt Hayler – Digital Cultures

Law

• Professor Sylvie Delacroix - machine ethics, morality and computer systems design
• Professor Karen Yeung - governance of computational technologies

Modern Languages

• Professor Dagmar Divjak - Cognitive Linguistics [also English Language & Linguistics]
• Dr Petar Milin – Corpus Linguistics

Theology and Religion

• Professor Hugh Houghton – Digital humanities
• Professor David Parker – Digital Philology

Computer Science

• Professor Chris Baber – Sensors
• Dr Hyung Jin Chang – Computer vision
• Dr Rajesh Chitnis – Algorithms for Streaming data
• Dr Jinming Duan – Computer vision for medical imaging
• Dr Shan He – Network-structured data in biology
• Professor Andrew Howes – Behavioural data science
• Professor Ata Kaban – High dimensional data analytics
• Dr Alexander Krull – Computer vision for microscopy
• Dr Mark Lee – Natural Language Processing
• Dr Per Kristian Lehre – Evolutionary optimisation algorithms
• Dr Yunwen Lei – Statistical Learning Theory, Machine Learning and Optimisation
• Professor Ales Leonardis – Computer vision
• Dr Miqing Li – Multi-objective optimisation
• Dr Max A. Little – Machine learning for signal processing and digital health
• Dr Masoumeh Mansouri – Intelligent Robotics
• Dr Leandro L. Minku – Intelligent Systems
• Dr Kashif Rajpoot – Computer vision for medical imaging
• Professor Jon Rowe – Data Science for Science
• Professor Aaron Sloman – AI and Cognitive Science
• Dr Mohan Sridharan – Intelligent Systems
• Professor Iain Styles – Computational Life Science
• Professor Peter Tino – Probabilistic Modelling
• Dr Shuo Wang – Data streams and ensemble learning
• Professor Xin Yao – Natural Computation

Mathematics

• Dr Alex Bespalov – Numerical methods for uncertain data
• Dr Hong Duong – Applied probability
• Dr Rosemary Dyson – Mathematical and Computational Biology
• Dr Sara Jabbari – Model-driven data analysis for biomedical systems
• Dr Samuel Johnson - Complex systems
• Professor Michal Kočvara – Optimisation
• Professor Jinglai Li – Optimisation
• Dr Tom Montenegro-Johnson – Mathematical and Computational Biology
• Dr Xiaocheng Shang – Optimisation
• Professor David Smith – Biomedical image analysis and modelling
• Dr Fabian Spill – Biomedical image analysis and modelling
• Professor John Terry – Modelling and analysis for Neuroscience
• Dr Panayiota Touloupou - Model-driven data analysis for tropical diseases

Chemistry

• Professor Tim Albrecht – Machine learning for single molecule science
• Dr Ruchi Gupta – Sensor systems
• Professor Dirk-Peter Herten – Intelligent microscopy
• Dr Robert Neely – Imaging and Image analysis

Chemical Engineering

• Dr Estefania Lopez-Quiroga – Digital manufacturing
• Dr Kit Windows-Yule – Imaging and AI
• Dr Grant Wilson – Data analytics for energy and decarbonisation

Metallurgy and Materials

• Dr Biao Cai – AI for materials discovery
• Dr Andrew J Morris – AI for materials discovery
• Professor Rustam Stolkin – Intelligent Robotics

Engineering

• Professor Chris Baker- Intelligent Sensor Systems
• Dr Marco Castellani – Evolutionary and Swam Intelligence
• Dr Sakdirat Kaewunruen – Smart railway systems
• Professor Duc Truong Pham – Optimisation, Automation, and Intelligent Systems
• Professor Clive Roberts – Smart railway systems
• Professor Xiao-Ping Zhang – Smart Energy Systems

Physics and Astronomy

• Professor William Chaplin – Data Science for Asteroseismology
• Dr Guy Davies – Data Science for Asteroseismology
• Professor Alberto Vecchio – Data Science for Gravitational Wave Astronomy
• Professor Nicola Wilkin – Data Science for Equality and Diversity

Biosciences

• Dr Marco Catoni – Computational Biology
• Dr Jackie Chappell – Cognitive Science
• Professor John Kenneth Colbourne – Environmental Genomics
• Professor Warwick Dunn – Bioinformatics
• Dr Eva Frickel – AI for imaging [Also IMI]
• Dr Jan-Ulrich Kreft – Computational Biology [Also IMI]
• Professor Nick Loman – Bioinformatics [Also IMI]
• Professor Zewei Luo – Statistical genetics
• Prof Jason Mercer – AI for imaging [Also IMI]
• Dr Luisa Orsini – Environmental Genomics
• Professor Mark Viant – Bioinformatics
• Dr Ralf Weber – Bioinformatics
• Dr Peter Winn – Structural Bioinformatics

Geography, Earth and Environmental Sciences

• Professor Francis Pope – Data Science for Atmospheric Science

Psychology

• Professor Howard Bowman – Cognitive Science
• Professor Ole Jensen – Data Science for Imaging Neuroscience
• Dr Andrew Bagshaw – Data Science for Imaging Neuroscience
• Dr Simon Hanslmayr – Cognitive Neurocience
• Dr Massimiliano (Max) Di Luca – Computational Neuroscience
• Dr Dietmar Heinke – Computational Neuroscience
• Dr Matthew Brett – Data Science Education and Open Source Software

Sport, Exercise and Rehabilitation Sciences

• Dr Barry Drust – Data Science for Football
• Dr Sang-Hoon Yeo - Robotics and virtual reality for Biomechanics

Applied Health Research

• Dr Nicola Adderley – Health Informatics
• Professor Melanie Calvert – Outcomes research
• Professor Jon Deeks – Biostatistics
• Mr Krishna Margadhamane Gokhale - Health Informatics
• Professor Karla Hemming – Biostatistics
• Professor Tom Marshall – Electronic Health Records
• Dr Krish Nirantharakumar – Health Informatics
• Dr Malcolm James Price – Biostatistics
• Dr Alice Sitch – Biostatistics
• Professor Javier Zamora – Biostatistics

Cancer and Genomic Sciences

• Professor Andrew Beggs – Bioinformatics
• Professor Lucinda Billingham – Biostatistics
• Professor Jean-Baptiste Cazier – Bioinformatics and Computational Biology
• Professor Simon Gates – Biostatistics
• Dr Deena Gendoo – Bioinformatics and Computational Biology
• Professor Georgios V. Gkoutos – Clinical Bioinformatics
• Dr Danesh Moradigaravand – Bioinformatics and Computational Biology
• Dr Justina Zurauskiene – Statistical and Computational modelling

Cardiovascular Sciences

• Dr James Guggenheim – Imaging and AI
• Professor Dirk-Peter Herten – Intelligent Microscopy [Also in Chemistry]
• Professor Dipak Kotecha – Big data and AI approaches to cardiovascular disease
• Dr Christopher O'Shea – Data science for atrial fibrillation
• Dr Mark Thomas – Big data approached to precision medicine

Clinical Sciences

• Dr Giovanni Bottegoni  - Computational drug discovery
• Professor Gabriel Landini – Image analysis

Immunology and Immunotherapy

• Professor Dylan Owen – Spatial Statistics

Inflammation and Ageing

• Professor Alastair Denniston – AI in medicine
• Professor Elizabeth Sapey – Electronic Health Records

Metabolism and Systems Research

• Professor Davide Calebiro – Image analysis and modelling
• Professor Manfred Opper -  Machine learning
• Professor John Terry – Modelling and analysis for Neuroscience [Also in Maths]

Microbiology and Infection

• Dr Eva Frickel – AI for imaging
• Dr Jan-Ulrich Kreft – Computational Biology
• Professor Nick Loman – Bioinformatics
• Prof Jason Mercer – AI for imaging
• Dr M. Lisandra Zepeda Mendoza – Data science for antibiotic resistance

Birmingham Business School

• Dr Danae Arroyos-Calvera – Economics
• Dr Devon K. Barrow – Operations Management
• Professor Jane Binner – Big Data for Finance
• Professor David Dickinson – Economics
• Dr Amalia Di Girolamo – Experimental Economics
• Professor Michalis Drouvelis – Behavioural Economics
• Dr Joanne Ercolani – Econometrics
• Dr Marco Ercolani – Econometrics
• Dr Ali Esfahbodi – Operations Management
• Dr Liza Jabbour – Business Economics
• Dr Zhihua Li - Behavioural and Experimental Economics
• Dr Johannes Lohse – Behavioural Economics
• Dr Rebecca McDonald – Behavioural Economics
• Dr Paola Paiardini – Financial Economics
• Professor Ganna Pogrebna – Behavioural Economics and Data Science
• Professor Kimberley Scharf – Behavioural Economics
• Professor Sasha Talavera – Financial Economics
• Dr Yufeng Zhang – Operations Management

Government

• Dr Stephen Jeffares – AI and Public Policy
• Professor René Lindstädt - Government and Data Science
• Professor Jason Lowther – Evidence-based public service reform
• Dr Natascha S. Neudorfer – Statistical methods for corruption and conflict
• Dr Louise Reardon – Smart Cities