Sara Sottile

About me

Mathematics, statistics
and public health.

I am a quantitative researcher working at the intersection of medical statistics, mathematical modelling and epidemiology. My work combines mathematical and statistical methods to investigate complex health processes, analyse clinical and population-level data, and support evidence-informed public health decisions.

Research profile

From mathematical theory to health applications

My background is in mathematics, with a PhD focused on mathematical modelling of epidemics. This work involved theoretical analysis, network models and applications to real epidemiological data, including systems evolving on multiple time scales.

Over time, my research has expanded across complementary areas: epidemic dynamics on networks, the spread of information and misinformation, medical statistics and clinical epidemiology, health technology assessment, and mechanistic modelling in biomedical applications. I am particularly interested in combining rigorous quantitative methods with questions that matter for healthcare and public health.

Academic path

Education and research experience

From 26 October 2026

Tenure Track Assistant Professor (RTT) in Medical Statistics

Department of Life Sciences, Health and Health Professions, Link Campus University.

April 2026 – present

Research collaboration · Joint Action Prevent NCD

Università Cattolica del Sacro Cuore, contributing to the European project on prevention strategies for non-communicable diseases.

September 2025 – February 2026

Research collaboration · FItPreV

Università Cattolica del Sacro Cuore, with statistical and epidemiological analyses for the personalised cardiovascular prevention project.

July 2025 – October 2026

Research Fellow

University of Bologna, Department of Medical and Surgical Sciences. Management and statistical analysis of large-scale cohort datasets for cancer epidemiology, including survival and longitudinal analyses.

March 2024 – March 2025

Research Fellow

University of Bologna, Department of Medical and Surgical Sciences. Statistical analysis of cohort datasets for cancer epidemiology, including data cleaning, survival analysis and epidemiological modelling.

February 2023 – March 2024

Research Fellow

University of Trento, studying epidemic models with multiple time scales, information and misinformation spreading, and behavioural dynamics.

2019 – 2023

PhD in Mathematics

University of Trento. Research on mathematical modelling of epidemics, including theoretical analysis, network models and real epidemiological data.

2017 – 2019

MSc in Mathematics

University of Turin, with a focus on mathematical modelling; graduated with honours (110/110 cum laude).

2014 – 2017

BSc in Mathematics

University of Bari “Aldo Moro”.

Beyond research

Methods, collaboration and communication

My work draws on statistical analysis, mathematical modelling and computational tools, including R, Stata, Python and MATLAB. I have contributed to collaborative research across mathematics, epidemiology, clinical research and health economics, and have presented my work at international conferences and scientific meetings.

I value interdisciplinary collaboration and the exchange between methodological development and real-world health questions.

Full curriculum vitae

Would you like to know more?

For a complete overview of my education, research experience, skills and publications, see my CV.

View CV (PDF) ↗