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Biography
Dr. Steven Golovkine is an Assistant Professor in the Department of Mathematics and Statistics at Université Laval. His research interests focus on the development of statistical methods and algorithms for multivariate functional data modeling. Examples of applications of his work include functional magnetic resonance imaging (fMRI), accelerometer data in sports science and electrocardiogram (EEG) monitoring in cardiology.
Academic background and professional experience
Postdoc, University of Limerick, 2022-2024
Research engineer, IRMES, 2021-2022
Ph.D., Mathematics and their Interaction, ENSAI, 2017
M.Sc. in Big Data, ENSAI, 2017
Diploma in Statistical Engineering, ENSAI, 2017
Research Areas
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Analyse de données haute dimension
Apprentissage statistique
Méthodes biostatistiques
Méthodes statistiques générales
Biostatistical methods
General statistical methods
High dimensional data analysis
Statistical learning
Contact
+ 1 418-656-2131
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