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Personal profile

Academic Biography

Dr Annalisa Occhipinti is a Lecturer in Data Analytics at Teesside University. She holds a PhD in Computer Science from the University of Cambridge, awarded in 2016.

She works at the intersection between Computer Science and Biology to develop machine learning and deep learning methodologies for cancer prediction. Her current research topics include mathematical and computational modelling of cancer, machine learning, survival analysis and statistical methods.

Dr Occhipinti has recently received several awards for her outstanding contributions in the field of machine learning, big data and cancer research, including an award by the University of Cambridge for her research contribution.

She has also experience in Big Data, Business Intelligence and machine learning applications for business. She is currently involved in several projects with industrial partners to apply machine learning techniques for gaining valuable operational insights from different data sources.

Education/Academic qualification

PhD, PhD in Computer Science - Thesis Title "Computational Models of Cancer for Survival Prediction", University of Cambridge

1 Sep 201330 Sep 2016

Award Date: 28 Oct 2016


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