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Séminaire SP / Andrew SIMPKIN (University of Galway) : "Functional data analysis, biomarkers and omics data: un pont à Bordeaux"

Les séminaires de Santé publique qui sont proposés par le Département Santé publique, le BPH, Bordeaux Population Health - UMR 1219 et l'ISPED, Institut de Santé Publique, d’Épidémiologie et de Développement sont ouverts à tous.

Amphi Louis - ISPED rdc - campus Carreire

Séminaire de santé publique

Mardi 2 avril 2024 - 17h à 18h
Amphi Louis - ISPED
Campus Carreire - université de Bordeaux
Ouvert à tous
En présentiel

Title: "Functional data analysis, biomarkers and omics data: un pont à Bordeaux"

Dr. Andrew SIMPKIN, Associate Professor
School of Mathematical and Statistical Sciences
University of Galway, Ireland

Lien_University of Galway

Abstract: Functional data analysis is the study of data that can be represented as functions (e.g. curves and surfaces). Treating data in this way gives rise to extended versions of common statistical approaches such as functional linear models, functional mixed models, and functional principal components analysis. In this talk I will provide a background of some of these, and how they can be used in epidemiology. Applications in longitudinal biomarker and omics data will be presented from collaborative work here in Bordeaux.

Bio: Andrew Simpkin is an Associate Professor of Statistics at the University of Galway on the west coast of Ireland. After completing a PhD in Statistics in Galway (2011), he spent several years as a postdoc and research fellow at Bristol Medical School and the Integrative Epidemiology Unit in Bristol, and the Mailman School of Public Health at Columbia University. He returned to the University of Galway as a Lecturer in Statistics in 2018. Andrew has developed methods for modelling high-dimensional data using functional data analysis, and models for epigenetic change in genomics. He holds honorary positions at Massey University, the University of Queensland, and the University of Bristol. He currently leads a team of five postdocs and three PhD students working across grants in epigenetics, digital health innovations and sensor data analytics.