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Dr Andrea Sottoriva

Team Leader

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Dr Andrea Sottoriva uses genomics and computational approaches to understand cancer as a complex system. He obtained a degree in computer science and worked in particle physics before switching to biomedical research. He is the Deputy Director of the ICR's Centre for Evolution and Cancer. Team: Evolutionary Genomics and Modelling

Sottoriva Lab website

Biography

Dr Andrea Sottoriva obtained his BSc in computer science from the University of Bologna in 2006 and his MSc in computational modelling from the University of Amsterdam in 2008.

While attending his BSc and master's he worked in neutrino physics at the Department of Physics of the University of Bologna and at the Institute for Nuclear and High Energy Physics (NIKHEF) in the Netherlands as a research assistant.

During his master's he specialised in computational biology and bioinformatics and became interested in mathematical modelling of cancer. This emerging field employs rigorous mechanistic modelling and simulations to understand complex biological systems such as cancer.

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In 2012 he completed his PhD in cancer genomics and modelling at the University of Cambridge within the CRUK Cambridge Research Institute, focusing on the integration of computational models with cancer genomic data. After his PhD he conducted postdoctoral research at the University of Southern California within the Norris Comprehensive Cancer Centre, investigating the use of multiple sampling genomic data from human malignancies to understand tumour evolution.

Dr Sottoriva joined the Centre for Evolution and Cancer at The Institute of Cancer Research, London, in 2013, where his research focuses on using multi-disciplinary approaches based on high-throughput genomics and mathematical modelling to understand cancer as a complex system driven by evolutionary principles. In April 2019 he was made Deputy Director of the centre.

The goal of his group is to identify those patient-specific rules that regulate the development and progression of the disease, to inform prognosis and novel therapeutic options that are tailored to the need of the individual cancer patient.

Outside of work, he enjoys surfing, snowboarding and cooking.