Daniela Grigori
Full Professor
Paris Dauphine – PSL University
LAMSADE CNRS
Daniela Grigori is a Full Professor at Paris Dauphine – PSL University and member of the LAMSADE CNRS laboratory. Her research lies at the intersection of process intelligence, data management, and AI-driven analytics for process-aware information systems. She investigates the modeling, analysis, and interpretation of complex process data, with particular emphasis on behavioral pattern discovery, predictive monitoring, and the integration of heterogeneous data sources.
Research profile:
Process mining • AI-driven analytics • Heterogeneous data integration and knowledge extraction • Information systems
Research
Her research focuses on:
- Process mining and behavioral pattern discovery
- Predictive monitoring for multi-object processes
- AI-driven analytics for process-aware systems
- Data governance and responsible AI (privacy, causality, fairness)
Academic Leadership and Responsibilities
- Former Director of LAMSADE laboratory (2018–2023)
- Co-head of the MIDO (Mathematics and Computer Science) teaching department of Paris-Dauphine University (2015–2017)
- Supervision of numerous PhD students (5 current, 8 defended)
- Leadership roles in major international conferences (PC Chair, organizing committees)
- Principal or partner in national, international, and industrially funded projects
- Co-author of reference books and co-inventor of patents in Business Process Intelligence
Books
Les processus métiers : concepts, modèles et systèmes (Lavoisier, 2009) — contributor and co-author of two chapters in an edited volume
Full publication list
International Academic Network
Her research activity involves sustained international collaborations through co-authorship and joint doctoral supervision with leading institutions including:
- University of Vienna (Austria)
- Humboldt University of Berlin (Germany)
- Dublin City University (Ireland)
- University of Trento (Italy)
- UNSW Sydney (Australia)
- Democritus University of Thrace (Greece)
- SGH Warsaw School of Economics
Funding
Recent and past support from ANR, CNRS, France Relance, PHC Utique, CAPES–COFECUB, and international partners, including industrial collaboration with LogPickr.
Outreach & Innovation
- Contribution to the popular science book Les Big Data à Découvert (CNRS Éditions)
- Co-inventor of two patents in Business Process Intelligence