I'm a PhD student in LAMSADE computer laboratory, affiliated with CNRS, at Dauphine-PSLUniversity. Within the Data Science and Artificial Intelligence group MILES, I am working on Causal Inference, revisited in the light of the latest advances in machine learning.
After obtaining my master's degree in electronics at ENSEA, I completed a master's degree, co-habilitated with ENSAE ParisTech, in statistical information processing, at MIDO departement, of Dauphine-PSL University.
Today, I aspire to participate in research and technological innovation through R&D DeepTech projects, to develop a breakthrough innovation with a high technological content.
More informations: My online resume.
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.
Cancer is one of the major causes of death in the world and 19.3 million new cases have been diagnosed in 2020, including 4.4 million in Europei. Today, multiple treatments exist, but they have the disadvantage of being heavy and expensive. The objective is therefore to predict the most appropriate treatment, according to the specific features of the patients and their pathology.
MyTreatment is a DeepTech project that use advances in Artificial Intelligence to support personalized medicine and prescription of cancer treatments, through Deep Learning algorithms.
Paris Dauphine-PSL University
L1 LSO & L2 MIDO
L3 info MIDO
L3 IM2D MIDO
If you have some questions or need help, please contact me!
Place du Maréchal de Lattre de Tassigny Bureau C602
Place du Maréchal de Lattre de Tassigny