Alessandro Ambrosi

Alessandro Ambrosi serves as Associate Professor of Medical Statistics at Vita-Salute San Raffaele University, Milan, where he teaches across multiple healthcare programs including Dentistry, Nursing, Physiotherapy, and Medicine. His academic affiliation spans the Department of Medical Statistics (MEDS-24/A) within the university's medical division, focusing on statistical applications in clinical research.

Education background includes a Degree in Statistical Sciences (1996) and PhD in Statistical Sciences (1999), both from the University of Padua. His academic journey features significant international exposure through visiting positions at the University of Aarhus (Denmark, 1998) and University of Oslo (Norway, 2007-2009).

Research interests center on non-parametric statistical methods, machine learning applications, and genetic statistical modeling, with documented expertise in bioinformatics, biostatistics, and preventative medicine. His work bridges mathematical theory with medical practice, particularly in obstetrics, cardiology, and neuroscience.

Analysis of his 174 publications (2023-2025) reveals a strong interdisciplinary trend applying advanced statistics to diverse clinical problems—from preeclampsia biomarker discovery to cardiac arrhythmia prediction and dental orthodontics. The publications demonstrate consistent methodological innovation across medical subfields while maintaining statistical rigor.

Scientific recognition includes:

• Fellow of Cochrane (2024-present)
• Fellow of Italian Statistical Society (SIS, 2024-present)
• Fellow of SISMEC (2013-present)

Professor Ambrosi actively mentors doctoral candidates, serving on PhD committees for Cognitive Neuroscience (2013-2021) and Translational Medicine programs at both Vita-Salute San Raffaele and University of Padua. His research leadership includes a contract for Technologies for Human Tissue Production at Padua and prior Social Statistics teaching appointments (2002-2004).

While specific laboratory infrastructure isn't detailed, his work involves extensive collaboration with clinical departments across medicine and dentistry, contributing directly to Sustainable Development Goals for health and education through statistical innovation in medical research.