Teaching & Supervision
University of Helsinki - Molecular visualization using Pymol for Ph.D. students (3 hours by year), 2015-2016
Ph.D. program teaching session (fr: Monitorat) (64 hours by year), 2012-2015
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:
Regression linear (PLS), linear discriminant analysis (LDA), tree decision (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%)
Ph.D. visiting student: Riu Zheng – 4 months at NIH/NIEHS, 2019.
Master student, mentor award program: Andy Mendoza – 2 months at NIH/NIEHS, 2019.
Master student: Ivan Toussies - 3 months at University Paris Diderot, 2015.
Bachelor Bioinformatics student: Hélène Borges - 1 month at University Paris Diderot, 2015.
Master Bioinformatics student: David Brandao - 3 months at University of Helsinki, 2014.