Machine Learning Statistical learning theory Metric Learning/Representation Learning Transfer Learning/Domain Adaptation Optimal Transport Theory of Boosting Learning from highly imbalanced data Physics-guided Machine Learning

Ongoing Projects as Coordinator ANR MELISSA (2025-2029) - AAP ANR PRC 2024 MEthodological contributions in statistical Learning InSpired by SurfAce engineering Coordinator - Partners: Inria Lille (MAGNET) - ISIR (PSL) ML4Health Project (2025-2026) - European alliance T4EU Machine Learning for Health Coordinator - Partner: Univ. Alicante (Spain)

---

Teaching

• Statistics and Probabilities - L3 (BSc.) in Computer Science
  
• Data Analysis - Master 1 MLDM
  
• Introduction to Machine Learning - Master 1 MLDM
  
• Advanced Machine Learning - Master 2 MLDM
  

---

Bibliography

See DBLP, List of papers and Google Scholar

---

Administration Activities