I am a PhD candidate at the University of Duisburg-Essen, where my research is supervised by Prof. Martin
Karlsson and funded through the HEPARD Marie Skłodowska-Curie doctoral network, part of the EU Horizon Europe
programme.
Most of my work asks why people respond so differently to the same policy or the same environment, and what
that means for their health.
My main focus is genoeconomics: using genetic data to understand economic behaviour and health. Polygenic indices
summarise a person's genetic predisposition for a trait, such as smoking heavily or finding it hard to quit. They
are fixed at conception, so they measure a kind of heterogeneity that policy cannot move. With Kinshuk Taneja I
combine polygenic indices from the Health and Retirement Study with decades of US state tobacco taxes to ask who
quits when cigarettes get more expensive, and what quitting is worth for their health. The hard part is that
genes can shape both who responds to a tax and how much they gain from quitting, and a standard instrumental
variables estimate mixes the two up. Marginal treatment effects let us pull them apart. I am also preparing a
related project on how people with different genetic endowments respond to retirement reforms.
The second thread is method. I work mostly with instrumental variables under heterogeneous effects, marginal
treatment effects, and difference-in-differences and event-study designs. I am interested in machine learning
where it helps causal inference, for example generative models that can adjust for the hundreds of confounders a
rich ageing survey gives you. I also care about how AI is changing the way economists do research, and I give
talks to colleagues on using AI coding agents in empirical work, from setting up a project to replicating a
published paper.
Third, with Sotiris Vandoros at UCL I study the acute effects of noise on health. Noise policy is usually built
on average exposure over a year, but people who live near airports also hear a handful of very loud events. We
ask whether those peaks harm health, through hospital admissions, prescriptions and self-reported health, beyond
what average noise levels would predict.
Ageing is where I started. Growing up in Italy, one of the countries with the oldest populations in the world, I
have always been fascinated by the ageing process and its socioeconomic implications. With Andrea Piano Mortari
and Francesca Marazzi I use hidden Markov models on SHARE, ELSA and the HRS to trace how people move from good
health into complex multimorbidity, and how age, sex and education shape each transition. With Jamie Christy and
Mikhail Kan I am bringing these trajectories into a project on whether German private long-term health insurance
contracts are well designed.
I am currently involved in the following projects:
STAGE
Stay Healthy Through Ageing
OBELISK
Tackling Childhood Obesity to Stay Healthy for Life
Aviation Noise Project
Health effects of aircraft noise in the UK, US and France
STAGE is a European Research and Innovation project studying healthy ageing and
multi-morbidity using a life-course approach.
OBELISK is a European-funded research project with the ambition of preventing
childhood obesity and promoting better health, quality of life, and longevity for individuals of all ages in
Europe.
Aviation Noise Project is a joint project with Sotiris
Vandoros at University College London, using UK, US and French data to study the health effects of aircraft
noise around airports.
In STAGE and OBELISK I am tasked with conducting the main econometric analyses, using advanced statistical techniques to
uncover insights from complex datasets. My work involves identifying patterns in healthcare utilization,
understanding the impact of multiple chronic conditions on health outcomes, and providing evidence-based
recommendations for policy and practice.
The European Expotypes project:
I am also involved in the operationalization and implementation of Expotypes in Europe. Collaborating with
Imperial College London, I am working on the development of a comprehensive framework for Expotypes, which will be
used to identify and classify individuals based on their exposure to various environmental, lifestyle and
biological factors. This framework will be instrumental in understanding how these factors influence health
outcomes.
Current Research Interests:
- Genoeconomics: polygenic indices, gene-environment interplay and who responds to policy
- Health behaviours and tax policy, especially smoking
- Econometrics: causal inference with heterogeneous effects, instrumental variables, marginal treatment
effects, event studies
- Machine learning for causal inference, and AI in economic research
- Acute noise exposure and health
- Economics of ageing: multimorbidity, retirement and cognition
Here are some of the conferences I have presented at or attended:
Jan 2026
ALP POP 2026 - DODENA, Bocconi University
La Thuille, Italy
Presenter
Dec 2025
XXX Italian Health Economics Association (AIES) NATIONAL CONFERENCE
Verona, Italy
Presenter
June 2025
OBELISK Project General Assembly
Berlin, Germany
Presenter
May 2025
STAGE Project General Assembly
Barcelona, Spain
Presenter
Dec 2024
XXIX Italian Health Economics Association (AIES) NATIONAL CONFERENCE
Naples, Italy
Presenter
Sept 2024
Exposome Analyitics Conference
Nice, France
Attendee