Teaching & Supervision

Teaching

  1. University of Helsinki - Molecular visualization using Pymol for Ph.D. students (3 hours by year), 2015-2016

  2. 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%)

Student supervision

  1. Ph.D. visiting student: Riu Zheng – 4 months at NIH/NIEHS, 2019.

  2. Master student, mentor award program: Andy Mendoza – 2 months at NIH/NIEHS, 2019.

  3. Master student: Ivan Toussies - 3 months at University Paris Diderot, 2015.

  4. Bachelor Bioinformatics student: Hélène Borges - 1 month at University Paris Diderot, 2015.

  5. Master Bioinformatics student: David Brandao - 3 months at University of Helsinki, 2014.