Teaching

  • Mathematical Foundations of Statistical Learning Theory (Math 547), Department of Mathematics USC, Fall 2020.

Here is the syllabus for this course. To access the course pages and resources, please visit Blackboard.

  • Statistical Inference and Data Analysis 2 (Math 308), Department of Mathematics USC, Spring 2020.

Here is the syllabus for this course. To access the course pages and resources, please visit Blackboard.

  • Calculus II (Math 126), Department of Mathematics USC, Fall 2019.

Here is the syllabus for this course. To access the course pages and resources, please visit Blackboard.

TA service

  • High-dimensional Statistics, ENSAE ParisTech, 3rd year (M2), 2016-2019

TP1: Énoncé Corrigé

TP2: Énoncé Corrigé

TP3: Énoncé Corrigé

TP4: Énoncé Corrigé

TP5: Énoncé Corrigé

  • Valuation and hedging derivatives, ENSAE ParisTech, 3rd year (M2), 2016-2019

  • Parametric Statistics 2, ENSAE ParisTech, 2nd year (M1), 2016-2019

  • Introduction to financial Mathematics, ENSAE ParisTech, 2nd year (M1), 2016-2019

  • Algebra, ENSAE ParisTech, 1st year (L3), 2016-2019

  • Measure Theory, ENSAE ParisTech, 1st year (L3), 2016-2019