
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
Senior 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
Senior 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
Senior Lecturer in 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
Senior Lecturer (Associate Professor) 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