My group’s research focuses on the development of novel computational tools to analyse and predict the modulation of protein and cell function by small molecules. These methods are typically based on machine learning and specialised pattern recognition techniques exploiting heterogeneous experimental data. We are also interested in the application of these methods to a range of translational problems in drug design and cancer pharmacogenomics.
Following a first degree in Physics and MSc in Information Processing and Neural Networks, I completed a part-time PhD at Imperial College London on geophysical data mining and inference. Subsequently, I was awarded a Junior Research Fellowship at the University of Oxford and then held a short postdoc at University of Cambridge, both associated to Chemistry departments. In 2010, I was awarded a 4-year MRC Methodology Research Fellowship, which funded my position as staff scientist at the European Bioinformatics Institute, and also a Governing Body Fellowship at Wolfson College Cambridge. In October 2014, I left the UK and moved to the south of France to take a position as a tenured group leader at INSERM and an A*MIDEX Excellence Chair. This is our group’s institutional website: http://crcm.marseille.inserm.fr/en/researchteams/pedro-ballester/
Further information can be found in my CV: [PDF]