Personal profile

Academic Biography

Dr Annalisa Occhipinti is Associate Professor 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 deep learning applications for multi-modal data integration, 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 from the University of Cambridge for her research contribution. She has also been the PI of several BBSRC and EPSRC research projects. 

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.

Link to my Lab's webpage

Education/Academic qualification

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

1 Sept 201330 Sept 2016

Award Date: 28 Oct 2016


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