Lionel Voirol

I am currently a Ph.D. Candidate in Statistics at the University of Geneva advised by Prof. Stéphane Guerrier. I previously received a M.Sc. in Business Analytics from the University of Geneva in 2019 and a B.Sc. in Economics & Management from the same university in 2017.

My research focuses on developing statistical methods that find their motivation in real-world applications across diverse fields such as engineering, health sciences or Earth sciences. Particularly, I am interested toward developping computationally efficient methods for inference, prediction, and model selection in large data settings characterized by dependent observations, such as those with temporal or spatial structure. I believe in interdisciplinary collaborations to make impactful discoveries and develop new approaches to data analysis, while addressing the increasing complexity of statistical and machine learning models used for inference and prediction. I implement these methods in open-source software, ensuring reproducibility and democratizing access to advanced tools for analyzing complex, large-scale datasets.

Research interests: