Giovanna Maria Dimitri is a researcher at the Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche, University of Siena, Siena, Italy. Previously she obtained a PhD at the University of Cambridge (UK) from the Department of Computer Science, supervised by Prof. Pietro Liò, with the dissertation: “Multilayer network methodologies for brain data analysis and modeling”. She also graduated in July 2015 with an MPhil in Advanced Computer Science at the University of Cambridge, with distinction. The thesis of her MPhil “Predicting Drugs Side Effects from a Combination of Chemical and Biologica profiles” was then released as an R package named DrugClust. She is a life member of Clare Hall College, University of Cambridge. During her staying at the University of Cambridge she was selected for the first fencing team, and she was awarded a Full Blue for Fencing (2015) and later two Half Blues for fencing (2016 and 2019). She also won several scholarships, for academic and sport reasons.
Previously she received her master’s and bachelor’s thesis (both 110/110 cum laude) in Computer and Automation Engineering at the University of Siena (Italy), supervised by Prof. Michelangelo Diligenti. She is an associate editor for Neurocomputing journal (Elsevier) and she serves as a reviewer in several top journal. She has published more than 45 papers in top peer reviewed conferences and journal on the topic of deep learning and data science.
For the teaching side, she was the supervisor for the part II Bioinformatics course at the Department of Computer Science in Cambridge from 2015 to 2017. Moreover she is the principal lecturer f the Business Intelligence course for the master in Engineering Management (DIISM, University of Siena) since A.Y. 2019/2020, tutoring lessons, and several master and phd students on the area of data science. She also has an extensive teaching experience, having taught and developed contents for several Cambridge University startups and summer schools. She was also the principal lecturer of two PhD courses, at the University of Science on data science and generative models in 2023.
