In June 2019, Guy Fagherazzi, PhD was appointed Research Leader of the “Deep Digital Phenotyping” (DDP) Research Unit, a new strategic position at LIH’s Department of Population Health. He is a senior research scientist in digital epidemiology with a strong expertise in diabetes as well as in the analysis of large population-based studies using Artificial Intelligence (AI) methods.
First trained in Mathematics, he has obtained a double Master Degree in Statistics and in Epidemiology. He has started to work on diabetes epidemiology during his PhD on large French and pan-European population based cohort studies. During his postdoctoral period, he has spent two research stays as a Visiting Scientist and initiated a collaboration still ongoing with the Diabetes and Population Health unit at the Baker Heart and Diabetes Institute in Melbourne.
He is the Principal Investigator of the World Diabetes Distress Study, a worldwide open research initiative on the use of social media data and artificial intelligence (AI) methods at the service of modern diabetes epidemiology and of the future CoLive study promoted by the Luxembourg Institute of Health.
He has also initiated several public-private partnerships with large pharmaceutical companies and e-Health startups on either the use of AI or connected devices in epidemiology.
• CoLive Cohort Study
An international digital cohort study composed of at least 50,000 people
living with type 1 or type 2 diabetes recruited both in Luxembourg and worldwide
• World Diabetes Distress Study
A worldwide open research initiative on the use of social media data
and Artificial Intelligence (AI) methods for diabetes epidemiology.
• Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper.
J Med Internet Res. 2020 Mar 3;22(3):e16770. doi: 10.2196/16770.
PubMed PMID: 32130138
• Digital diabetes: Perspectives for diabetes prevention, management and research.
Fagherazzi G, Ravaud P.
Diabetes Metab. 2018 Sep 19. pii: S1262-3636(18)30171-X. doi: 10.1016/j.diabet.2018.08.012. Review.
PubMed PMID: 30243616.
• An International Study on the Determinants of Poor Sleep Amongst 15,000 Users of Connected Devices.
Fagherazzi G, El Fatouhi D, Bellicha A, El Gareh A, Affret A, Dow C, Delrieu L, Vegreville M, Normand A, Oppert JM, Severi G.
J Med Internet Res. 2017 Oct 23;19(10):e363. doi: 10.2196/jmir.7930.
PubMed PMID: 29061551; PubMed Central PMCID: PMC5673882.
“I have always been interested
in new technologies and
recognised during my research experience
that digital tools have a big potential
to change the life of patients”, says
Guy Fagherazzi, PhD,
Research Leader of the DDP Research Unit.