Pan Prostate Cancer Group
The Pan Prostate Cancer Group (PPCG) Project is an ongoing collaboration involving researchers across the globe. The aim of the project is to collect a high quality data set of prostate cancer specimens sequenced using a range of modalities, such as whole genome sequencing, RNA sequencing, and methylation sequencing. The analysis of these samples will then be harmonised using pipelines developed by members of the project, and used to further prostate cancer research.
David Wedge
Professor of Cancer Genomics and Data Science
My research interests include cancer genomics, tumour evolution, data science and machine learning.
Atef Sahli
Postdoctoral Research Associate / Bioinformatician
Andreas Gruber
Postdoctoral Research Associate / Data Scientist
Andreas has an educational background in both, informatics and molecular biology. Over recent years, he has authored a multitude of data science approaches, tools and webservices.
G. Maria Jakobsdottir
Senior Bioinformatician
Computational cancer researcher with an interest in multiomics and data visualisation. Maria has a background in both lab-based and computational research.