Supervised by Ph. Jamal ATIF and Florian YGER, my research focuses on Causal Inference estimation, from algorithms using standard mathematical models and Deep Learning methods.
Causal Inference, which determines the causal link between a cause and an effect, is developing in multiple fields, such as medicine, marketing and economics. The aim is not only to predict a phenomon, but understand it. For example, in language translation, beyond a dictionary-based translation that is studied in classical machine learning problems, causality identifies the causal link between words to understand a unknown langage no dictionary exists.