Annalisa’s interdisciplinary research uses machine learning and deep learning methodologies for cancer prediction.
Dr Annalisa Occhipinti is a College alumna and Associate Professor at Teesside University. She obtained her PhD in Computer Science from the University of Cambridge in 2016.
Annalisa 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.