CV

Post-doctoral position (on-going)

LPSM, Sorbonne Université, Paris, France

• Under the direction of senior research scientist Catherine Matias.
• Statistical models for sparse hypergraphs.

PhD in applied mathematics

MAP5, Université Paris Cité, Paris, France

• Under the direction of Pr. Pierre Latouche and co-direction of Pr. Charles Bouveyron.
• Deep graphical models and inference strategies for the analysis of networks comprising textual edges.

Research assistant (6 months)

Argonne national laboratory (ANL), Lemont, USA

• Creation of a generative model to sample car speed profiles based on deep neural networks

Data Scientist internship (6 months)

• Identification of causes of flaws in glass production

Engineer in Statistics and Economics

Ecole nationale de la statistique et de l'administration économique (ENSAE), Palaiseau, France

• Data science, deep learning, statistical learning, optimal transport.

1st year of Master's degree in applied mathematics

Université Paris 1 Panthéon Sorbone, Paris, France

• Statistics, linear model, time series, functional analysis, optimisation, macroeconomics.

Bachelor's degree in applied mathematis

Université Paris 1 Panthéon Sorbone, Paris, France

• Applied mathematics (analysis, algebra, probabilities and statistics).
• Economics (Macroeconomics, microeconomics, monetary theory).

ETSBM code

• Code accompanying the paper Embedded Topics in the Stochastic Block Model.

Deep-LPTM code

• Code accompanying the paper The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges.