Teaching
Course materials
Statistical Learning for Actuaries
Contains: Penalized regression, CART, Bagging, Boosting, SVM, Shapley, Neural Networks
Slides: Introduction, Data&Actuary, LinearModels, CART, Bagging, Boosting, LossFunction, Interpretability, SVM, NeuralNet, FoodForThough
Codes[data] : TP1-RegPen, TP2-CART, TP3-RF, TP4-GBM, TP5-Interpretability
Mortality Tables & Longevity Risk
Contains: Duration models, Mortality modelling, Life insurance
Agricultural & Index Insurance
Contains: Agricultural risk management, Insurance pricing, Index insurance
Positions
2021 - ... Associate Professor - Institut de Science Financière et d'Assurances (ISFA)- Lyon, France
Statistical Learning for Actuaries, MSc in Actuarial sciences
Enterprise Risk Management, MSc in Acturial sciences
2020 - ... Lecturer - Ecole Nationale Supérieure de Statistique et d’Economie Appliquée (ENSEA) - Abidjan, Ivory Coast
Mortality Tables & Longevity Risk, MSc in Actuarial sciences
Statistical Learning for Actuaries, MSc in Actuarial sciences
2021 - ... Lecturer - Institut International des Assurances (IIA) - Yaoundé, Cameroon
Agricultural & Index Insurance, MSc in Actuarial sciences
2016 - 2021 Teaching Assistant - Institut de Science Financière et d'Assurances (ISFA)- Lyon, France
Enterprise Risk Management, MSc in Acturial sciences
2016 - 2019 Teaching Assistant - École nationale de la statistique et de l'administration économique (ENSAE) - Malakoff, France
Applied Statistics, MSc in Statistics and Economics
2012 - 2014 Teaching Assistant - Lycée Louis-Le-Grand (LLG) - Paris, France
Mathematics oral examination, BSc in Engineering (MPSI)
Students supervised
Actuarial thesis: Aurélien Choquer (2019), Lucie Bulteau (2022), Pierre Herry (2022), Halil Yaya (2022), Afnane Kotbi (2022), Léonard Jullien (2022)