Pierre Genevès

Research Director, Computer Science


Graph Data can be very large, more or less structured, incomplete, noisy, etc. This raises significant challenges for artificial intelligence and data management. Graph In the Tyrex project-team, we conduct research at the crossroads of these areas.


Big Data
GraphRecnew (2023-..)
With the ANR-funded GraphRec project, we investigate neuro-symbolic queries on large graphs.

CLEAR (2017-2022)
With the ANR-funded CLEAR project, we investigate programming techniques to facilitate the extraction of value from big data. This includes studying how to efficiently query very large graphs, how to generate distributed (e.g. Spark) code optimized for processing huge datasets, and how to develop highly scalable interpretable predictive models.