Prof Woillard has been a Doctor of Pharmacy since 2008. He obtained a Master in Pharmacology in 2007 followed by a PhD in Pharmacogenetics and Pharmacokinetics in 2011. He is Head of the “TDM and pharmacokinetics” unit in the Department of Pharmacology, Toxicology and Pharmacovigilance (managed by Prof. Pierre Marquet) at Limoges University Hospital. He is a member of the International Association of Therapeutic Drug Monitoring and Clinical Toxicology (IATDMCT) and vice chair of the Pharmacometrics Committee, the European Association for Clinical Pharmacology and Therapeutics (EACPT) and of the French Society of Pharmacology and Therapeutics (SFPT).

Dr Woillard conducts his research in the INSERM U1248 unit (INSERM is the French National Institute of Medical and Health Research) on treatment personalization, mainly concerning immunosuppressants (IS) in organ transplantation, which covers: pharmacogenetic and pharmacodynamic studies of IS; development of original models in pharmacokinetics; statistical modeling; and application to routine treatment personalization in transplant recipients. He is also interested in antibiotics modeling and their dose individualization. His new research focused on the application of machine learning methods to therapeutic drug monitoring and pharmacometrics.  He has 81 publications in peer-reviewed, international journals and has done over 25 presentations in national and international congresses. 

Antoine is interested in Artificial Intelligence and medicine. During the Covid-19 crisis, together with a friend, he created the Corovisa application which uses Machine Learning and data analysis to secure certificates of non-contamination. During this citizen initiative, he worked with the cabinet of the Ministry of Health and the largest French pharmaceutical laboratories.

He further specialized with master courses in Machine Learning and Bayesian Learning. In collaboration with the hospitals of Paris, he carried out and published an AI project on improving the understanding of Priority Neighbourhoods using bank data, under the supervision of the senior advisor of the French Minister of Industry.

He is working with us on issues related to discovered ODE.

Elisabeth is a visiting student at the van der Schaar Lab. Her research interests lie in machine learning, neurosciences and everything in between. Elisabeth is currently doing a PhD at KU Leuven university under the supervision of Prof. Maarten De Vos. Her PhD is funded by the Research Foundation – Flanders through the competitive strategic basic research fellowship. The project revolves around automated sleep analysis from brain signals recorded with wearable monitoring devices. Prior to this, Elisabeth graduated summa cum laude from KU Leuven for the MSc in Biomedical Engineering. During her bachelor’s and master’s studies, she was involved in multiple research projects at KU Leuven and Johns Hopkins University, resulting in three scientific publications. After obtaining her master’s degree, she did a 6-month research internship at the Neuroengineering Lab in EPFL.

In her research stay at the van der Schaar Lab, Elisabeth is focusing on interpretability and expert feedback for next-generation automated sleep analysis models. As such, she aims to build better machine learning models for sleep staging, and to empower sleep clinicians in their daily duties through insights generated from these models.