Professor Francesco Falciani
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 range from modelling the effect of pollutants in the environment to cancer and ageing.
Professor Andy Jones
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. He has a strong track record in developing software and data standards for mass spectrometry (proteomics and metabolomics), and has developed popular databases in immunogenetics.
Dr Philipp Antczak
Philipp has a well-established track record of developing and applying computational tools to areas of biomedical and environmental science. He has a strong track record in utilising statistical/predictive/network modelling approaches, data integration techniques, and machine learning to answer biological questions. His main focus is in understanding the molecular basis underlying stress responses/adaptation in acute, chronic or transgenerational observed effects.
Professor Dan Rigden
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. He is equally enthused by cryptic genome sequences and well-characterised proteins of medical or industrial relevance.
Dr Eva Caamaño-Gutiérrez - Project Manager/Data Scientist
Eva has broad experience in NMR metabolomics, data integration and her interests lie in application-based and translational biology. She leads the organisation and deployment of our most popular courses and events. Since August 2018 she is also acting project manager of the facility, coordinating all our work.
Dr Kim Clarke - Data Scientist
Kim joined the CBF as a full-time data analyst after a post-doctoral position investigating the molecular drivers of metastasis in renal tumours. He continues to specialise in applying multi-omics based strategies to issues of human health and diseases.
Dr Arturas Grauslys – Data Scientist
Arturas joined the Facility after completing a short post-doctoral position developing NMR metabolomics software. He is most interested in computational statistics and machine learning. He is currently working with biological networks with the aim to classify compounds’ modes of action.
Dr Antony McCabe - 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. This includes the Allele Frequencies Net Database, the ChannelBank prototype as well as in-house software for research purposes and data visualisation.
Simon Perkins – Senior Software Engineer/Data Scientist
Simon has worked in industry as a software engineer and for Cancer Research UK as a proteomics analyst. He is most interested in enabling and developing bespoke proteomic analyses and software as well as developing a growing expertise in machine learning for biological applications.
John Heap – Senior Software Engineer
John has over 20 years of industry experience developing various pipelines and solutions for life sciences. He is now working on an assortment of projects including the use of social media to improve determination of adverse effect of commercialised drugs. He is also our tranSMART expert.
Dr Louise Takeshita – Data Scientist
Louise joined the CBF after a PhD in Biological Sciences at the University of Liverpool. She has broad experience in computational biology, including multi-omics integrative analysis, population genetics and 3D protein docking analysis.
She is currently working with the TransBioLine consortium, developing strategies to understand the predictive power of circulating miRNAs in human biological processes and diseases.
Dr Mara Kozic – Data Scientist
Mara has broad experience in protein sequence and structural bioinformatics. She is particularly interested in 3D modelling, molecular dynamics, developing bespoke pipelines, and applying machine learning in biology.