Methods for analyzing complex networks: community detection, anomaly and change point detection in temporal interactions, and graph similarity and network alignment, working with linkstreams (continuous interaction sequences) and across topological and temporal scales.
[Read more](/project/complex-networks)
This work characterizes how communities evolve over time: detecting change points in temporal graphs to distinguish lasting regime changes from transient anomalies, tracking community evolution through temporal motifs and benchmarked detection methods, and tracing individual member trajectories as they join, contribute, and move between communities.
[Read more](/project/community-dynamics)
Applying network analysis to social phenomena: team interactions, platform dynamics, echo chamber detection in online media, and the growth and sustainability of large-scale online collectives such as Wikipedia and open-source communities, connecting network structure to questions from media studies, economics, and sociology.
[Read more](/project/computational-social-science)
Designing AI-based teaching assistants and intelligent tutoring systems: how pedagogical decisions such as what to teach and how can be kept separate from language generation, how large language models can be used reliably despite their error rates and domain variability, and how such systems can evolve from answering questions in isolation toward Socratic companions that accompany students throughout a course.
[Read more](/project/pedagogical-ai-agents)
This work aims to use techniques from the analysis of social networks and machine learning to produce Learning Analytics (LA) that will support learners and teachers in changing their practices.
We are particularly interested in how the analysis of social interactions allows us to obtain insights into the dynamics of learning strategies.
[Read more](/project/learning-analytics)
According to the World Health Organization, starting from 2010, cancer will become the leading cause of death worldwide. Prevention of major cancer localizations through a quantified assessment of risk factors is a major concern in order to decrease their impact in our society. In this project our objective was to find and to evaluate modeling methods easily readable by a physician.
[Read more](/project/breast-cancer-risk-assessment)
This work aims to develop new methods of data exploration and analysis using immersion techniques in 3D environments.
We are particularly interested here in the development of graph visualization techniques to allow:
- an intuitive visualization of the centrality of nodes
- the ability to navigate between several levels of detail
[Read more](/project/immersive-analytics)
The purpose of this work on pedagogy in higher education is to take a step back on the various pedagogical innovations implemented in my teaching activities at IMT Atlantique.
Several topics are covered:
- student motivation and autonomy
- skill assessment
- peer review
- the management of heterogeneous populations
[Read more](/project/pedagogy)
Early PhD-era work on integrating expert domain knowledge into data mining processes, using ontologies to improve pattern extraction and interpretation.
[Read more](/project/expert-knowledge-data-mining)