About Me

I am currently Assistant Professor (Maître de conférences) in Computer Science at the University of Paris 8, affiliated with the LIASD laboratory.

Previously, I was a Postdoctoral Researcher at CEREMADE, Université Paris Dauphine-PSL, where I collaborated with Pr. Emmanuel Bacry, Pr. Jean-François Muzy and Pr. Agathe Guilloux.

Earlier, I served as a Temporary Lecturer and Research Assistant at Université Paris Dauphine-PSL. I defended my Ph.D. thesis, supervised by Elsa NEGRE, on Generality and Explainability in Recommender Systems (manuscript).

Before joining LAMSADE for my doctoral studies, I earned a Master’s degree at Université Paris Dauphine-PSL and completed my engineering training at AgroParisTech, under the guidance of Antoine CORNUEJOLS and Juliette Dibie. My academic path began with a Bachelor’s degree at Shanghai Jiao Tong University.

My research interests are rooted in artificial intelligence, with a focus on explainability and interpretability. I work on argumentation-based approaches for explainable recommendations, counterfactual reasoning, and methodologies for evaluating explanations. In parallel, I develop deep learning methods for financial market microstructure analysis, particularly for detecting strategies such as spoofing in equities and index futures.

Research Interests

• Explainable AI (XAI): argumentation-based explanations, counterfactual reasoning, and evaluation of explanations.
• Recommender Systems: generality, interpretability, and trustworthiness.
• Survival Analysis & Market Microstructure: modeling order execution dynamics in limit order books.
• Deep Learning in Finance: detection of market strategies (e.g., spoofing) in equities and futures.
• Knowledge Representation & Reasoning: integrating logic, argumentation, and learning.