Teaching

Recently

ENSAE

Insurance, biases, discrimination and fairness
Doctoral Course ENSAE,

STT3030

Apprentissage statistique
Statistical learning
STT3030 UQAM,

MAT-4681

Statistics for sciences
Statistique pour les sciences
MAT4681 UQAM, (including videos )

STT-5100

Applied Linear Models
Modèles Linéaires Appliqués
STT5100 UQAM, (including videos )

ACT-6100

Data Science for Actuaries
Analyse de Données en Actuariat
ACT6100 UQAM, (including videos )

INF-7100

Introduction to data science and artificial intelligence
Introduction à la science des données et à l’intelligence artificielle
STT7100 UQAM, (including videos )

MAT-7381

Regression
MAT7381 UQAM, (including videos )

STT8330

Théorie de l'apprentissage statistique
Theory of statistical learning
STT8330 UQAM,

MAT-998P

Équité et discrimination des modèles prédictifs
Fairness and discrimination in predictive modeling
MAT998P UQAM,

Textbooks

Datasets

CASdatasets: Insurance datasets

  
    install.packages("CASdatasets", 
	repos = "http://cas.uqam.ca/pub/", 
	type="source")
  

BY-NC 4.0

You are free to share — copy and redistribute the material available here in any medium or format.
You must give appropriate credit.
You may not use the material for commercial purposes.

Before

(Academic) Teaching Previous teaching experience has been achieved at:

• UQAM, Montréal, Canada, (ACT6100, INF6100, MAT4681, MAT7381, MAT998P, STT1000, STT5100) 2018-
• Società Italiana di Econometria, Italia, 2019
• Université de Rennes, France, 2007-2010 & 2014-2018
• Università degli studi dell'Insubria, Italia, 2018
• Universitat de Barcelona, Spain, 2018
• UQAM, Montréal, Canada, (ACT2040, ACT2121, ACT6420, MAT8181, MAT8595, MAT8886) 2011-2014
• UCL, Louvain, Belgium, 2014
• UdeM, Montréal, Canada, (STT2700, STT6705) 2010-2011
• Ecole Polytechnique, France, (ECO431, ECO550, ECO556, ECO568) 2008-2010
• Đại học Kinh tế Thành phố Hồ Chí Minh, Vietnam, 2008
• ISUP, Paris, France, 2008
• ENSTA, Paris, France, 2007
• Institut de Mathématiques Appliqués, Angers, France, 2007
• Université Paris 1, France, 2007
• Université Saint-Joseph, Beyrut, Lebanon, 2006
• INSEA (معهد الوطني للإحصاء والاقتصادالتطبيقي), Marocco, 2006
• Uniwersytet Warszawski, Poland 2006
• ENSAI, Rennes, France, 2005-2006
• ENSAE, Paris, France, 2002-2007 & 2015-2018 & 2024
• ENSEA, Abidjan, Ivory Coast, 2003
• Université Paris Dauphine, France, 2000-2005

(Professional) Training Previous training experience has been achieved at:

• Summer School of the Swiss Association of Actuaries 2019
• Institut des Actuaires 2015-2018, Data Science for Actuaries, Paris
• AXA 2015, Data Science for Actuaries, Paris, Singapore, Istanbul
• AXA 2007, R for actuaries & Cat Bonds
• MAIF 2014, Statistical Learning, Niort
• EDF 2007, Copulas & Risk Measures
• SCOR 2007, Extremes and Catastrophes
• CARITAT 2005-2010, Various Trainings, Paris

Probability and Statistics
Probabiliy , Mathematical Statistics, Datamining, Probability and Statistics

Time Series and Stochastic Processes
Time Series , Markov Chains , Forecasting Electricity Consumption

Econometrics and Predictive Modeling
Predictive Models , Classification , Advanced Techniques Université de Bretagne Loire Universitat de Barcelona Università degli Studi dell'Insubria

Dependence, Copulas and Extreme Values
Copulas , Extreme Values and Reinsurance

Inequalities and Risk Measures
Inequalities , Risk Measures Multivariate and Dynamic Risk Measures

Finance
Asset Pricing, Numerical Techniques , Portfolio Management

Networks
Graphs , Flows

Insurance and Actuarial Models
Risk and Insurance , GLM and Insurance, Machine Learning and Insurance , Non-life insurance

Data Science and R
Advanced Introduction to R