The members of BIOSTAT share an interest in statistical research that is triggered by and fitted to applications in the bioscience engineering field. For doing so we closely collaborate with engineers at the faculty of bioscience engineering, research institutes and industry. We are part of the department of data analysis and mathematical modelling. Our research deals with the statistical modelling of temporal and spatio-temporal data taking into account the complex relationships that can exist within such data. A particular interest goes to environmental applications such as the study of climate and biodiversity among others. A poster about our research can be found here.
Current members
Affiliated PhD students
Former PhD students
Matthys Lucas Steyn
Open-Set Recognition using Extreme Value Theory
Supervised in collaboration with Stellenbosch University
Date of defence: 31 January 2025
Camille Van Eupen
Integrating opportunistic citizen science data and species distribution models for biodiversity conservation policy and management | PDF
Supervised in collaboration with KU Leuven and INBO
Date of defence: 09 June 2023
Hee Reen Shim
Data-Efficient Methods for Natural Language Processing: Applications in Healthcare | PDF
Supervised in collaboration with KU Leuven and Philips Eindhoven
Date of defence: 27 January 2023
Chetanya Puri
Building personalised machine learning models in health informatics with limited datasets | PDF
Supervised in collaboration with KU Leuven and Philips Eindhoven
Date of defence: 13 January 2023
Ahmed Youssef Ali Amer
Machine learning for human health : from activity and vital-sign monitoring to mortality prediction | PDF
Supervised in collaboration with KU Leuven
Date of defence: 12 May 2021