Research in practice

Projects & impact

Connecting research, students and partners around challenging real-world, interdisciplinary problems.

Data Challenges & hackathons

2026

Natixis CIB — Data Challenge

Financial anomaly analysis, domain-specific data and a conversational assistant: integrating AI, interpretation and operational needs.

2025

Covéa — Data Challenge

Develop a financial-health indicator to anticipate insurance-contract profitability despite imbalanced data, missing values and interpretability requirements.

2024

Safran — Data Challenge

Industry-facing data science challenge with Safran. The detailed task and deliverables will be added from cleared source materials.

2023

Natixis — NLP & central bank speeches

Analyze central-bank speeches and their relationship with financial-market movements; build and assess out-of-sample trading strategies using textual signals.

2022

Natixis — Data Challenge

Earlier Data Challenge collaboration involving economic speeches and market data.

2025

DIRISI — Cybersécurité et anomalies

Three-day hackathon, 18–20 November 2025: detect and characterize incidents using firewall data; distinguish faults from attacks, assess severity, propose countermeasures, and deliver a robust operator interface.

2024

DIRISI — Prévision de charge des réseaux

A separate hackathon on historical IT-system workload analysis and peak prediction to support resource planning for military networks. Three components: data, AI and visualization.

Conferences and outreach

Co-organizer of New Trends in Statistical Learning since 2021, invited presentation at Porquerolles in 2025, a scientific presentation on CoHiRF at IHP, and organization of mathematical-statistics meetings. Outreach includes introductory AI presentations for CEREMADE researchers and doctoral students.

Writing & perspectives on education

Dauphine Éclairages · 19 mai 2026

Former à l’IA en finance : l’Université ne peut pas faire seule ↗

An article about university–industry collaboration, data challenges and training future AI specialists.