Our team
We are a team of multidisciplinary scientists working in different areas of research. All of our staff are trained at PhD-level or have equivalent industry experience.
Director - Andy is a specialist in proteome informatics and post genomic science. His particular areas of interest include new algorithms and software, databases, data sharing, and the interface between different types of Omics data.
Director - Eva coordinates all our work. She is a scientist by training and holds a PhD in Systems Biology. Her area of expertise relies on the application of machine learning approaches to biomarker discovery.
Associate Director - Dan is a specialist in protein sequence and structural bioinformatics. He is particularly interested in using 3D modelling of all kinds to understand, predict and redesign protein catalysis, specificity and interactions.
Associate Director - Jamie is a Senior Data Scientist following a Versus Arthritis Fellowship at Newcastle University. He has eight years of bioinformatics experience and a broad range of skills, with a strong interest in developing and applying new computational approaches to biomedical data to drive hypothesis generation.
Associate Director - Francesco is a Lecturer in Computational Biology. He focuses on the statistical analysis of big datasets coming from multi-omics experiment, the mathematical modelling of biological systems (e.g., genome-scale metabolic models), and processing LC/MS-based untargeted metabolomics data with a particular emphasis on metabolites annotation.
Facility Manager - Lauren has a PhD in computational and evolutionary biology. With a solid foundation in molecular and biochemical laboratory work, Lauren possesses a comprehensive understanding of entire Life-Science project workflows.
Facility Manager - Megan has a PhD in evolutionary ecology investigating host-microbe interactions in pea aphids. She has a keen interest in emerging technologies, including single-cell sequencing and spatial transcriptomics and how these can be utilised to answer exciting research questions.
Senior Data Scientist - Anthony joined the Facility following a post-doctoral position, investigating biomarkers for therapeutic response in pancreatic cancer. He has particular interests in understanding disease heterogeneity and applying computational biology for clinical benefit.
Data Scientist - Emily has experience as a database curator. Her primary interests are integrating multi-omics data, systems modelling, molecular modelling and how these techniques can be applied to translational biology.
Senior Software Engineer - Tony is a computer scientist with wide experience in software development and database creation. He is currently working on a number of different bioinformatic software projects.
Data Scientist - Euan's interests lie in applying network modelling and biostatistical approaches to multi-omic data-sets in order to disentangle host-microbe interactions, drug mode of action and drug resistance, alongside answering many other biological questions.
Data Scientist - Jordan joined us as a data scientist following his PhD at the University of York, where he used spatial multi-omics to map the biomolecular changes associated with post-traumatic knee osteoarthritis. He enjoys the data analysis side of research and learning more about new areas of biology.
Data Scientist - Kirsty has a strong background in both wet lab and computational research, Kirsty brings a deep understanding of experimental workflows and the large-scale datasets they generate. She has a keen interest in big data analysis, discovery science, and applying new software and techniques to solve complex biological problems.
Software Engineer and Data Scientist - Dan has an integrated background in mathematics, computer science, and biology. He carried out his doctoral research focusing on forecasting and predictive analysis of the human microbiome using machine learning and applied mathematics.
Data Scientist - Ewan's interests are in the molecular responses of invertebrates populations to environmental stress, analysing genomic, transcriptomic, proteomic, and epigenomic data and relating it to phenotypic variation. He is part of the LifeArc Kidney Research UK project.
Data Scientist - Zeliha has a background in evolutionary biology and experience analysing diverse omics datasets, particularly in complex diseases and phenotypes such as aging. Her expertise lies in applying and developing statistical methods to interpret large-scale biological data.
Project Support Officer - Christina supports the team, working mainly on the BIOMEDical DAta Science Accelerator (BIOMEDASA) project. As part of this project, she will be focusing on assisting in numerous outreach, reskilling, and training events.
Research Data Steward - Laura has previously provided administrative and data support to various projects at Imperial College London, University of Cambridge and the University of Leeds. She is returning to research support after spending the last three years as a Marketing Database Coordinator at the University of Bradford.
Shah is part of the Professor Daniel Rigden's group in the Institute of Systems, Molecular and Integrative Biology where his research focusses on Protein Bioinformatics. Shah is a specialist in the application of diverse bioinformatics tools to proteins of interest to predict the structure and functions of uncharacterised proteins.
At the CBF he will be using structural bioinformatics to understand medin generation. More specifically, he will use molecular dynamics analysis to assess how medin cleavage sites become accessible. This will include analyses in the presence or absence of lipid bilayer. Additionally, we will use experimental results from collaborators to identify targets to perform protein bioinformatics and characterize candidate genes that affect medin processing e.g., functional annotation and structural modelling.
Kawinnat, (aka Pimmy), has joined the CBF as a part-time data scientist alongside her PhD study under supervision of Prof. Andy Jones. She is currently working on SUMOylation (post translational modification), focusing gene identification, evolution and transcriptomic regulation in plants. Pimmy's work at the CBF includes gene identification in model organisms using bioinformatic approaches and website administration and design.
Arturas joined the CBF as a full-time data scientist after a post-doctoral position building software and analytical pipelines for NMR metabolomics. In his time in the CBF he specialised in health data science, applying machine learning approaches to solve complex problems ranging from biomarker discovery to drugs classifications. Arturas is also a developer of our popular R courses. He is now a senior bioinformatician in Eliptica where he is working on personalised medicine and holds an honorary position with us.
Kim joined the CBF as a full-time data analyst after a post-doctoral position investigating the molecular drivers of metastasis in renal tumours. In his time in the CBF he specialised in applying multi-omics based strategies to issues of human health and diseases and the development of novel approaches to analyse single cell transcriptomics data. Kim is now a senior data scientist in Astra Zeneca and holds an honorary position with us.
Dan worked at the CBF while undertaking a MRC/Versus Arthritis PhD developing statistical and machine learning models for biomarker discovery. Dan is now Head of Bioinformatics at Greywolf Therapeutics and continues a close collaboration with the CBF.
Francesco is a specialist in developing novel computational approaches in systems biology and the application of these techniques to complex biological systems. Projects in Francesco’s research group have ranged from modelling the effect of pollutants in the environment to cancer and ageing. He was very involved in the Systems Medicine efforts in the MRC Centre for Drug Safety Science and in the area of blood malignancies.
Francesco has recently left the university to focus on his consultancy work but remains a great source of advice and inspiration for our work.