Lionel Voirol
Ph. D. Candidate in Statistics
Geneva School of Economics and Management
University of Geneva, Switzerland
I am currently a Ph.D. Candidate in Statistics at the University of Geneva advised by
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 and health science. By fostering interdisciplinary collaborations, I aim to create new avenues for impactful discoveries and novel approaches to data analysis in the era of big data, while accounting for the increasing complexity of statistical and machine-learning models employed for inference and prediction. I place great emphasis on implementing these methods in open-source software, ensuring reproducibility of results and democratizing access to advanced tools and methodologies for data analysis in complex and large-scale datasets.
Research interests:
Recent Selected Papers (full list)
Lionel Voirol, Mucyo Karemera, Davide A. Cucci, Wenfei Chu, Roberto Molinari & Stéphane Guerrier Accounting for Vibration Noise in Stochastic Measurement Errors of Inertial Sensors, IEEE Transactions on Signal Processing 72, 2024.
Lydia Wehrli, Ioannis Galdadas, Lionel Voirol , Martin Smiesko, Yves Cambet, Vincent Jaquet, Stéphane Guerrier, Francesco Gervasio, Serge Nef & Rita Rahban The Action of Physiological and Synthetic Steroids on the Calcium Channel CatSper in Human Sperm, Frontiers in Cell and Developmental Biology, 11, 2023.
Davide A. Cucci, Lionel Voirol , Mehran Khaghani & Stéphane Guerrier On Performance Evaluation of Inertial Navigation Systems: The Case of Stochastic Calibration, IEEE Transactions on Instrumentation and Measurement, 72, 2023.