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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. Practical applications of his work span various fields, including functional magnetic resonance imaging (fMRI), sports science through accelerometer data, and cardiac monitoring using electrocardiogram (EEG) technology. He has a solid academic background and professional experience, having completed his postdoctoral research at the University of Limerick from 2022 to 2024, served as a research engineer at IRMES in 2021-2022, and earned his Ph.D. in Mathematics Interaction, as well as an M.Sc. in Big Data, both from ENSAI in 2017. Golovkine has expertise in biostatistical methods, general statistical methods, high-dimensional data analysis, and statistical learning. He is actively engaged in disseminating his research through multiple publications and collaborative projects.
Université Laval • Québec, Canada
Teaches and conducts research in the Department of Mathematics and Statistics.
University of Limerick •
Conducted advanced research in applied mathematics.
IRMES •
Worked on statistical modeling projects.
Department of Management / MBA programs often require higher GPAs and specific English proficiency.