Laura Bondi

Starting from January 2024, I joined the Health Data Science Centre at Human Technopole, Milan (Italy). I am part of the Di Angelantonio - Ieva group and my focus is on models for proteomic and EHR data.

Between September 2021 and December 2023, I was part of the Medical Research Council (MRC) Biostatistics Unit (BSU) at Cambridge University (UK) as a Research Associate, within the Precision Medicine group. I worked with Dr. Brian Tom and Prof. Sylvia Richardson.

I am part of the “STEpUP OA” collaboration, led by the Kennedy Institute at Oxford University, that aims at identifying molecular pathways of osteoarthritis (OA). This academic-industry partnership will use statistical and machine learning approaches to confirm whether multiple distinct molecular endotypes exist in disease or whether OA is “one disease” at the molecular level.

I obtained my PhD in Statistics cum laude from Bocconi University in Milan, Italy, in February 2022. My advisor is Prof. Marco Bonetti. My PhD thesis focuses on likelihood-free estimation of statistical models for the natural history of breast cancer, using mammography screening data.

Previously, I’ve obtained a Bachelor in Mathematics and then a Master in Statistics, both at Padua University in Italy, and I’ve spent a semester as an Erasmus student at KU Leuven, Belgium.

Research Interests

• Disease History Models
• Precision Medicine
• Proteomic Data
• Statistics in Cancer Research
• Public Health Data Analysis
• Bayesian Clustering
• Likelihood-free Inference
• Dimensionality Reduction
• Variable Selection