Prof. dr. Christel FAES
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Prof. dr. Christel FAES
Full professor
Prof. dr. Christel FAES
Membership
Research
Discipline codes: Environmental impact and risk assessment (01070305), Biostatistics (03030201), Epidemiology (03030202), Statistical data science (01010804), Time series and spatial modelling (01010806), Biostatistics, statistical methodology in epidemiology and public health (01010809)
Supervised PhDs
Contribution to joint modelling for longitudinal data: application to biomedical data with software implementations.
Ipek Güler Caamano Fajardo for the title Doctor of Sciences: Statistics (doctorate in progress)
Supervised as Promotor
Quantum thermonauts at the cell surface: Localized subcellular thermometry to study the temperature dependant dynamics of axon plasticity.
Sarra Zaghbouni for the title Doctor of Biomedical Sciences (doctorate in progress)
Supervised as Copromotor
TRPV4 as a multimodal sensor to control microglial cell biology: from mitochondria to phagocytosis
Elena-Andreea Burlacu for the title Doctor of Biomedical Sciences (doctorate in progress)
Supervised as Copromotor
A geostatistical framework to forecast malaria incidence in the context of climatic events
Jose Alejandro Rozo Posada for the title Doctor of Sciences: Statistics (doctorate in progress)
Supervised as Promotor
Spatio-temporal modeling of environmental exposures and risks
Sara Rutten for the title Doctor of Sciences: Statistics (doctorate in progress)
Supervised as Promotor
Deep learning for biomarker prediction and spatial statistics for tumor heterogeneity in digital whole-slide histopathology images
Joachim Webers for the title Doctor of Sciences: Statistics (doctorate in progress)
Supervised as Copromotor
Multi-pollutant and mediation analysis for PFAS mixture effects on immuno-cardiometabolic health
Jonas Meijerink for the title Doctor of Sciences: Statistics (doctorate in progress)
Supervised as Promotor
Exploring sociodemographic drivers of the COVID-19 pandemic in Belgium: Insights from hierarchical and fractal-based spatiotemporal models
Yessika Adelwin Natalia for the title Doctor of Sciences: Statistics in 2026
Supervised as Copromotor
Statistical modeling of federated data through sufficient statistics
Marie Analiz April Limpoco for the title Doctor of Sciences: Statistics in 2026
Supervised as Copromotor
Spatial statistical methods in digital pathology applied to non-small cell lung cancer and chronic hepatitis B infected liver tissue
Jari Claes for the title Doctor of Sciences: Statistics in 2026
Supervised as Promotor
From Whole Slide Imaging Optimization to Nuclei Segmentation: Computational Approaches for Non-Small Cell Lung Cancer Analysis
Melvin Geubbelmans for the title Doctor of Sciences: Statistics in 2025
Supervised as Copromotor
Endemic-Epidemic Modeling: Bridging Routine Infectious Disease Surveillance and Non-Traditional Data
Thi Huyen Trang Nguyen for the title Doctor of Sciences: Statistics in 2025
Supervised as Promotor
Bayesian inference with Laplace approximations and P-splines in infectious disease and spatial epidemiology
Bryan Sumalinab for the title Doctor of Sciences: Statistics in 2025
Supervised as Promotor
Quantifying and Mitigating the Environmental Disease Burden and Health Inequalities in Urban and Transport Planning
Bram Vandeninden for the title Doctor of Sciences in 2025
Supervised as Promotor
Multiple Deprivation and Health Inequalities in Belgium
Martina Otavova for the title Doctor of Sciences: Statistics in 2024
Supervised as Promotor
Short-term prediction and impacts of different socio-factors and mobility levels on the spread of COVID-19
Minh Hanh Nguyen for the title Doctor of Sciences: Statistics in 2024
Supervised as Promotor
Advanced data analytics for high-dimensional mass spectrometry and high-resolution digital pathology
Annelies Agten for the title Doctor of Sciences: Statistics in 2023
Supervised as Copromotor
Spatio-temporal and statistical prediction models of human infectious diseases in Rwanda
Muhammed Semakula for the title Doctor of Sciences: Statistics in 2023
Supervised as Promotor
A statistical framework to adapt traditional spatial and temporal methods to non-standard specialized large databases
Oana Petrof for the title Doctor of Sciences: Statistics in 2022
Supervised as Promotor
Software implementations and COVID-19 applications in disease mapping
Maren Vranckx for the title Doctor of Sciences: Statistics in 2021
Supervised as Promotor
Spatial-temporal models for Ebola and HIV in Western and Southern Africa
Rachid Joel Guidion Muleia for the title Doctor of Sciences: Statistics in 2021
Supervised as Promotor
Statistical perspectives on the analysis of disease outbreak data using mechanistic and phenomenological models
Tapiwa Ganyani for the title Doctor of Sciences: Statistics in 2020
Supervised as Promotor
“Mathematical and statistical models for estimating infectious disease parameters based on serological and social contact data”
Mai Phuong Thao Tran for the title Doctor of Sciences: Statistics in 2020
Supervised as Copromotor
Hierarchical models for the analysis of spatial health surveys with missing information at individual and areal level
Kevin Watjou for the title Doctor of Sciences: Statistics in 2020
Supervised as Promotor
Bayesian Nonlinear Hierarchical Models: Applications in Preclinical Pharmacometrics
Fabiola La Gamba for the title Doctor of Sciences: Statistics in 2019
Supervised as Promotor
Local and Global Influence for The Generalized Linear Mixed Model and Its Extensions
Trias Wahyuni Rakhmawati for the title Doctor of Sciences: Statistics in 2018
Supervised as Copromotor
Statistical and mathematical methods to improve models of infectious disease transmission in and between human and animal populations.
Yimer Wasihun Kifle for the title Doctor of Sciences: Statistics in 2017
Supervised as Copromotor
Parametric and semi-parametric model strategies with applications in chemical and microbial risk assessment.
Ruth Nysen for the title Doctor of Sciences: Statistics in 2016
Supervised as Copromotor
Semi-Parametric Methods for Applications in Survey Data and Geostatistical Data
Yannick Vandendijck for the title Doctor of Sciences: Statistics in 2015
Supervised as Promotor
Modeling Complex Data with Spatial Correlation, Zero-inflation and Overdispersion; the Combined Modeling Approach
Thomas Neyens for the title Doctor of Sciences: Statistics in 2015
Supervised as Promotor
On the estimation of key infectious disease parameters based on epidemic data
Amin Azmon for the title Doctor of Sciences: Statistics in 2014
Supervised as Copromotor
Forecasting and prediction models for demography and animal infectious diseases
Chellafe Ensoy for the title Doctor of Sciences: Statistics in 2014
Supervised as Promotor
Modeling Hierarchical Data, Allowing for Overdispersion and Zero-inflation, in Particular Excess Zeros
Wondwosen Kassahun for the title Doctor of Sciences: Statistics in 2014
Supervised as Copromotor
Flexible modeling tools for hierarchical and incomplete data, with applications in comet assays and clinical trials
Aklilu Habteab Ghebretinsae for the title Doctor of Sciences: Statistics in 2013
Supervised as Promotor
Statistical models in epidemiolgy and quantitative microbial risk assessment applied to salmonella in pork
Kaatje Bollaerts for the title Doctor of Sciences: Information Technology in 2009
Supervised as Copromotor
Flexible modelling techniques and use of historical controls in animal studies
John Maringwa for the title Doctor of Sciences: Information Technology in 2008
Supervised as Copromotor
Flexible statistical models for microbial risk assessment and infectious diseases
Harriet Namata for the title doctor in science: mathematics in 2008
Supervised as Copromotor
Projects
38 research projects have been found
Beyond the biopsy: Innovative multimodal imaging to assess whole tumor heterogeneity in lung cancer (Research)
01/10/2025 - 30/09/2028
Implementation Study of Lung Cancer Screening in the Flemish Region, the ZORALCS Study (Research)
01/10/2024 - 30/09/2028
Efficient and rapidly SCAlable EU-wide evidence-driven Pandemic response plans through dynamic Epidemic data assimilation (Research)
01/01/2023 - 31/12/2026
ExploreIntego: General practice data for targeted cancer prevention in primary care (Research)
01/11/2025 - 31/10/2026
Statistical modelling of federated data through sufficient statistics (Research)
16/09/2024 - 31/08/2026
Development of an evidence based proof of concept care path for Non-Alcoholic Fatty Liver disease in Flanders. (Research)
01/11/2022 - 31/10/2025
Diamond for chip-based quantum sensing in multi-electrode bioelectrical recordings in human iPSC-derived neurons and axonal networks. (Research)
01/01/2021 - 31/12/2024
Future proof pathology for predictive medicine and disease prognosis based on tumor heterogeneity. (Research)
01/01/2021 - 31/12/2024
Epidemic intelligence to minimize 2019-nCOV's public health, economic and social impact in Europe "EpiPose" (Research)
13/03/2020 - 12/04/2023
: Development of an evidence based proof of concept care path for Non-Alcoholic Fatty Liver disease in Flanders. (Research)
01/11/2020 - 31/10/2022
Effectiveness of management agreements for field and meadow birds (breeding ground, food and breeding success) (Research)
01/01/2018 - 29/04/2022
Development and application of spatio-temporal models for estimation of prevalence of infectious diseases in Western and Southern Africa (Research)
01/07/2018 - 31/12/2021
Balancing socio-economic and public health impact of COVID-19 for its sustainable control and mitigation (SOPHIA) (Research)
01/11/2020 - 31/10/2021
Development of a method for threat analysis in the context of the risk of emergence or re-emergence of infectious animal diseases (Research)
01/01/2019 - 30/04/2021
Subcontract with VITO within the framework of the Consortium Environmental Health (Research)
01/12/2016 - 31/12/2020
Deelproject 'Data management and analysis' binnen het VLIR ZIUS project met University of Limpopo - Zuid-Afrika
01/04/2010 - 31/12/2019
Technical support for processing winter counts of birds on bird feed plots in Harpengouw. (Research)
01/09/2017 - 31/12/2017
StUDyS: Developing crucial Statistical methods for Understanding major complex Dynamic Systems in natural, biomedical and social sciences (Research)
01/04/2012 - 31/12/2017
Uncertainty in spatial health analysis due to missingness and aggregation effects (Research)
26/09/2013 - 31/01/2017
Development and application of statistical methodology for analysis of the phenomenon of multi-drug resistance in the EU: demonstration of analytical approaches using antimicrobial resistance isolate-based data. (Research)
09/12/2014 - 08/06/2016
Statistical methods for the analysis of surveys with an informative spatio-temporal sampling design. (Research)
01/10/2011 - 30/09/2015
Development of predictive models for the growth of L. monocytogenes and for the compliance with L. monocytogenes food safety criteria in foods covered by the baseline survey prevalence of L. monocytogenes contaminated RTE foods. (Research)
01/04/2012 - 30/06/2014
Estimation of the prevalence of L. monocytogenes contaminated RTE foods as well as analysis of the qualitative and quantitative survey tests results and analysis of factors associated with the prevalence of L. monocytogenes contaminated RTE foods. (Research)
01/04/2012 - 30/11/2013
Preparatory work in the ananlysis and reporting of data on multi-resistance in antimicrobial resistance isolate based data collected from reporting countries for the year 2011 (Research)
23/07/2012 - 22/07/2013
Analysing and reporting data on multi-resistance in antimicrobial resistance isolate based data collected from volunteer Member States for the year 2010. (Research)
19/07/2011 - 18/07/2012
Request for assistance in development of statistical analyses of methods for evaluation of data on antimicrobial resistance in zoonotic agent isolates from animals and food. (Research)
16/12/2009 - 15/03/2011
Request for assistance in statistical evaluation of the achievement by Member States of the EU Salmonella reduction targets in animal populations. (Research)
16/12/2009 - 15/10/2010
Research Collaboration Agreement between Censtat and Vose Software in the frame of the IWT SME-feasibility project: " Development of risk mamangement tools for surveillance of emerging animal diseases (RISKEMERG)" (Research)
01/03/2009 - 30/09/2009
Education
Involved in the following courses
Academic year 2026 - 2027
Academic year 2026 - 2027
Academic year 2025 - 2026
Academic year 2025 - 2026
Christel FAES
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