Our team

We are a team of multidisciplinary scientists working in different areas of research.


Back to: Computational Biology Facility

Francesco Falciani

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.

Francesco is currently leading the Systems Medicine efforts in the MRC Centre for Drug Safety Science and in the area of blood malignancies.

Professor Andy Jones

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.

Associated directors

Philipp Antczak

Dr Philipp Antczak

Philipp has now moved to the University of Cologne in Germany but remains closely associated with the CBF. He has a well-established track record of developing and applying computational tools to areas of biomedical and environmental science. He has experience 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.

Dan Rigden

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.

Our team

Eva Caamaño-Gutiérrez

Dr Eva Caamaño-Gutiérrez - Facility Manager and Data Scientist

As our manager, Eva coordinates all our work. She is a scientist by training and holds a PhD in Systems Biology. She has broad experience in data integration interests lie in application-based and translational biology.

Eva has led the creation and deployment of our most popular courses R for beginners and R for data science. She enjoys teaching and talking about different scientific projects. Have a look to her full profile here.


Kim Clarke

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. His most recent work involves the development of novel approaches to analyse single cell transcriptomics data.

Arturas Grauslys

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 has worked with biological networks with the aim to classify compounds’ modes of action and currently is working on a number of health data science projects applying machine learning to solve complex problems with high impact in patient care.

He has co-develop the courses R for beginners and R for data science and supports a number of students learning R.

Simon Perkins

Simon Perkins – 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.

Mr Daniel Green – Data Scientist

Dan joined the CBF while undertaking a MRC/Versus Arthritis PhD where he is developing models to identify biomarkers for age and disease in musculoskeletal tissues. His experience resides in genome wide epigenetic, epi-transcriptomic and gene expression analysis with a particular interest in applying statistical/machine learning approaches to answer biological questions. Dan is one of the course developers and leaders for R for Data Science and contributor to the R for beginners course.

Dr Alexander Phillips – Data Scientist

Alex joined the CBF as a data scientist after completing a PhD in Electrical Engineering at the University of Liverpool, where his research focused on applying Bayesian methods to quantify proteins in MS proteomics data. He is interested in Bayesian statistics, Monte Carlo methods and machine learning.

John Heap

John Heap – Senior Software Engineer

John has over 20 years of industry experience developing various pipelines and solutions for life sciences. He is working on an assortment of projects including the use of social media to improve determination of adverse effect of commercialised drugs. He has had a key role in COVID-19 response projects such as Symptom Watch and Campus Shield.

Dr Antony McCabe

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.