Matteo Amestoy

Matteo holds a Master of Sciences in Statistics and Machine Learning from the ENSAE ParisTech and université Paris Dauphine. He started his PhD trajectory in the Exposome-NL consortium in July 2020, working under the supervision of Mark van de Wiel and Wessel N. van Wieringen at the Amsterdam UMC.

His work focuses on complex data modelling such as longitudinal and spatial data, linking traits and environmental variables to health indicators. 


Linked shrinkage to improve estimation of interaction effects in regression models

Mark A. van de Wiel , Matteo Amestoy and Jeroen Hoogland
Epidemiologic Methods (2024)

Matteo Amestoy

Contact information

Amsterdam UMC, location VUmc
Epidemiology & Data Science

Areas of Expertise

Big Data Bioinformatics Multilevel modelling

Decoding the exposome

Decoding the exposome

The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...

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