Teaching & Supervision
Continuing education courses
2025: QSAR Demystified: From Principles to Practice in Regulatory Toxicology
ASCCT annual meeting | 21–23 October 2025 | Gaithersburg, USA
2024: Navigating chemical space in association with experimental and predicted toxicity data to identify relevant analogues for hazard and risk assessment
ASCCT annual meeting | 28–30 October 2024 | RTP, USA
Teaching
2015–2016: Molecular visualization using PyMOL
University of Helsinki | Ph.D. students | 3 hours by year
2012–2015: Ph.D. program teaching session (Monitorat)
University Paris Diderot | 64 hours by year
- Probability, combinational statistics — practice sessions, Bachelor 1st year (15%)
- Multivariate analysis and statistics — lecture, practice sessions, Master 2nd year (80%)
- R programming — practice sessions and tutored projects
- Statistical test theory — lectures
- Multivariate visualization methods: PCA, AFC, MDS, …
- Machine learning tuning and performance:
- Linear regression (PLS), linear discriminant analysis (LDA), decision trees (CART), support vector machine (SVM), random forest (RF), neural network type singleton (NN)
- Applicability domains, model limitations and evaluations
- Build a professional network — lecture, Master 2nd year (5%)
Student supervision
2019: Ph.D. visiting student — Riu Zheng
2019: Master student, mentor award program — Andy Mendoza
2015: Master student — Ivan Toussies
University Paris Diderot | 3 months
University Paris Diderot | 1 month
University of Helsinki | 3 months