Statistical methods and time series analysis
We are researching all areas of statistical methods and time series analysis, from Bayesian statistics through to the use of SQL/R-studio.
Our expertise
- Bayesian statistics
- Computerised medical record systems
- Data analysis
- Descriptive statistics
- Design of experiments, including design robustness against observation loss and fractional and fractional factorial experiments
- Gaussian models
- Latent linear models
- Markov models
- Medical statistics
- Monte Carlo methods
- The use of SQL/R-studio.
Meet the team
Members
Dr Roman Bauer
Lecturer
Dr Alex Couto Alves
Lecturer in Bioinformatics and Statistical Genomics
Dr Janet Godolphin
Reader
Dr Marika Kaakinen
Lecturer in Statistical Multi-omics
Dr Oleksiy Klymenko
Lecturer in Chemical Process Engineering
Dr Samaneh Kouchaki
Lecturer in Machine Learning for Healthcare
Professor Paul Krause
Emeritus Professor
Dr Emma Laing
Visiting Professor
Dr Agnieszka Lemanska
Senior Lecturer in Health Data Science
Dr Giovanni Lo Iacono
Senior Lecturer in Biostatistics/Epidemiology
Dr Joaquin Prada
Lecturer in Veterinary Epidemiology
Professor Inga Prokopenko
Professor e-One Health and Head of Statistical Multi-Omics
Professor H Lilian Tang
Professor in Artificial Intelligence
Dr Tom Thorne
Senior Lecturer
Peter Williams
Statistics Consultant
Professor Simon de Lusignan
Professor of Primary Care and Clinical Informatics, and Vice Chancellor's Fellow
Associate members
Professor Jo Armes
Professor of Cancer Care and Lead for Digital Health
Dr Mohammad Asim
Assistant Professor & Group Leader in Cancer Biology & Therapeutics
Dr Matteo Barberis
Reader in Systems Biology, FHMS Coordinator of Centre for Mathematical and Computational Biology (CMCB), School International Lead
Professor Andre Gerber
Professor of RNA Biology
Professor Jonathan Johnston
Professor of Chronobiology and Integrative Physiology
