Research & Publications
Dr. Mauro Giuffrè is a Postdoctoral Associate at the Yale School of Medicine's Division of Internal Medicine. After earning his medical degree cum laude from the University of Trieste in Italy, he obtained a Master's in Biostatistics for Clinical Research from the University of Padova in 2019. That same year, he began his fellowship in Gastroenterology and Hepatology at the University of Trieste.
Dr. Giuffrè's primary focus in the past years has been related to the use of machine learning techniques to predict complications in advanced chronic liver disease through non-invasive techniques. His research has been published in numerous peer-reviewed journals and presented at international conferences, including the American Association for the Study of Liver Diseases (AASLD), European Association for the Study of the Liver (EASL), Italian Association for the Study of the Liver (AISF), and the Italian Federation for Gastrointestinal Disease Societies (FISMAD).
At the moment he works as Postdoctoral Associate at Shung Lab (Prof. Dennis Shung).
Education & Training
- Gastroenterology and Hepatology FellowshipUniversity of Trieste (2023)
- Master's in Biostatistic for Clinical ResearchUniversity of Padova (2019)
- MDUniversity of Trieste, Department of Medicine, Surgery and Health Sciences (2018)