Brussels Metropolitan Area
Quality by Design, Process Validation, (Bio-)Analytical Development and Validation, Process Analytical Technologies (PAT), Continuous Manufacturing, Robustness and Risk Assessment, Capability and Control, Stability and Release Limits, Connecting the Dots from Discovery and Assays to Manufacturing and Clinical trials. Bayesian Statistics, Design of Experiments, Multivariate Design Space, Modeling and Simulations, Signal Processing, Multivariate Calibration, MCMC methods, R, Shiny, SAS, JMP/JSL, SQL, Matlab, Latex. Trainer in Applied and Bayesian Statistics, Lecturer, Coach.
General Chapter - Pharmaceutical Analysis Lifecycle and Data Science
Non-Clinical statistics Assay / Bioassay Validation, Transfer and Comparison Process Validation Continuous Manufacturing Specifications and Risk assessment for capability and control Predictive uncertainty - Bayesian Statistics Design of Experiments - Effective Design Space - Quality by Design Process Analytical Technology Vaccines and drugs development
Statistics in Analytical Chemistry, Robust Analytical Method and Process Development, Validation, Equivalence and Transfer. PAT.
In a laboratory of analytical chemistry, I develop mathematical/statistical solutions to speed up in an accurate way the method development in many field, such as chromatography, near infra-red spectrometry, etc.
Statistics for the pharmaceutical industry (Analyse des médicaments - méthodes statistiques appliquées à l'industrie pharmaceutique) http://icampus.uclouvain.be/claroline/course/index.php?cid=LFARI2104
Application of penalized logistic regression to classify pharmaceuticals molecules with respect to their predicted toxicity