Back to: Computational Biology Facility
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.
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.
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 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.
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 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 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.
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.
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.
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.
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 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.
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.