Discipline codes:
Probability theory (01010801), Statistical theory (01010802), Biostatistics, statistical methodology in epidemiology and public health (01010809)
Supervised PhDs
Het schatten van de cross-ratio functie met Bernstein veeltermen
Ömer Sercik for the title Doctor of Sciences: Statistics (doctorate in progress)
Supervised as Copromotor
Advanced Statistical Methods for the Analysis of Censored Time-to-Event and Serial Seroprevalence Data
Miguel-Angel Beynaerts for the title Doctor of Sciences: Statistics (doctorate in progress)
Supervised as Copromotor
Development of new methods to estimate epidemiological parameters in individual-based models based on imperfect data
Ilaria Misuri for the title Doctor of Sciences: Statistics (doctorate in progress)
Supervised as Promotor
Statistical methods to estimate infectious disease parameters and individual heterogeneity
Adelino Martins for the title Doctor of Sciences: Statistics in 2022
Supervised as Promotor
On the sero-epidemiology of measles in Belgium: on immunogenicity and persistence of vaccination and immunity gaps
Julie Schenk for the title Doctor of Sciences: Statistics in 2022
The Belgian Pandemic Intelligence Network (BE-PIN) (Research)
01/12/2023 - 01/03/2027
Public health decision making with stochastic individual-based
models: a translational framework driven by advances in health
economics, model inference and reinforcement learning
(ACCELERATE) (Research)
01/01/2023 - 31/12/2026
Efficient and rapidly SCAlable EU-wide evidence-driven Pandemic response plans through dynamic Epidemic
data assimilation (Research)
01/01/2023 - 31/12/2026
Bernstein-based estimation of the cross-ratio function (Research)
01/01/2022 - 31/12/2025
Solar Cookers for All (Education)
01/09/2023 - 31/08/2025
Nonparametric estimation of time-varying association measures for bivariate censored time-to-event data (Research)
01/10/2020 - 30/09/2024
Statistics for development in Indonesia (Education)
01/01/2019 - 31/08/2022
DSI COVID-19 team (Research)
15/06/2020 - 14/06/2022
Statistical methods to estimate infectious disease parameters and individual heterogeneity using multivariate serological data (Research)
01/07/2017 - 31/12/2021
RESTORE: REalistic forecaSTing, cOntrol and pREparedness for coming COVID-19 waves (Research)