Professor Andrea Sottoriva’s team uses biological, clinical and mathematical expertise, in order to decipher how cancer progresses, metastasises and develops treatment resistance.
Professor 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.
I am a Data Scientist with a background in Computer Science. I am now training in Cancer Evolution with Professor Sottoriva. Previously, I was at the University of Edinburgh (Lab of Machine Learning for Computational Biology and Bioinformatics), and at Milan-Bicoocca (Bioinformatics and Systems Biology). I hold a PhD in from the University of Pisa. At the ICR, I develop new methods to measure cancer evolutionary dynamics from genome sequencing data.
I obtained an MSci in Biochemistry from the University of Glasgow in 2018. In October 2018 I joined the labs of Dr Michael Hubank and Professor Andrea Sottoriva to investigate the use of liquid biopsy to monitor clonal frequency and emergence of resistance mutations in paediatric cancers.
I am an oncology doctor, taking time out of registrar training to do a PhD in Professor Sottoriva’s lab. I obtained my medical degree and a BSc (Psychiatry) at Imperial College, and an MSc at the ICR (Oncology). My project will be focusing on studying clonal evolution in prostate cancer.