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TEACHING ACTIVITY

Teaching

I teach data science, statistics, and economics in programmes ranging from undergraduate to master's level, combining empirical methods with hands-on programming practice.

288h

teaching hours

4

institutions

5

courses taught

L1–M2

all levels

FIELDS OF INSTRUCTION

R Data Science Statistiques Microéconomie

TEACHING RECORD

Sciences Po – Paris School of International Affairs

Lecturer – PSIA Master's

Data Science with R

M2
Master's (M2) 24h lecture/group 120 students 4 groups
R Data Science
Course outline
  • Getting started with R and RStudio
  • Data exploration and manipulation
  • Data visualisation
  • Statistical inference
  • Statistical modelling
  • Current trends in data science
Course materials (GitHub)

EDHEC Business School

Lecturer – International Law & Finance dual degree

Quantitative Methods

L1
Undergraduate (L1) 12h lecture + 12h tutorial/group 60 students 2 groups
Statistiques Économétrie
Course outline
  • Data organisation and measures of central tendency
  • Measures of dispersion
  • Bivariate distributions and statistical dependence
  • Correlation and association between variables
  • Statistical inference and simple linear regression
  • Multiple linear regression

Université Paris 1 Panthéon-Sorbonne

Teaching Assistant – BSc Economics

Statistiques : probabilités

L2
Undergraduate (L2) 24h tutorial/group 60 students 2 groups
Probabilités Statistiques
Course outline
  • Probability spaces, events and probability calculus
  • Conditional probability and independence
  • Discrete random variables, expectation and variance
  • Classic discrete distributions (Bernoulli, Binomial, Poisson)
  • Continuous random variables and standard distributions
  • Discrete random vectors

Université Toulouse Capitole

Teaching Assistant – BSc Economics & Management

Microéconomie 1

L1
Undergraduate (L1) 24h tutorial/group 60 students 2 groups
Microéconomie Théorie des jeux
Course outline
  • Social interactions and game theory
  • The firm and its customers: monopoly and price discrimination
  • Duopoly and industrial economics
  • Supply and demand, competitive markets
  • Externalities and information asymmetry

Microéconomie de la production

L2
Undergraduate (L2) 24h tutorial/group 60 students 2 groups
Microéconomie Théorie de la firme
Course outline
  • Production technology and production functions
  • Production costs and cost minimisation
  • Firm profit maximisation
  • Returns to scale and economies of scale
  • Firm supply under perfect competition