Pierre Genevès

Researcher in Computer Science

Data-centric programming, data management, data science, analytics

Research in data-centric programming

Data-centric programming is a research topic at the forefront of data science. Graph Nowadays, most of the effort in building artificial intelligence applications concerns data processing. Challenges are raised by the complexity of data, which can be more or less structured, available in very large volumes, distributed, heterogeneous, etc. Graph Data-centric programming involves topics studied in various computer science areas such as programming languages, data management, analytics, artificial intelligence, knowledge extraction, and distributed programming. In the Tyrex project-team, we conduct research at the intersection of these areas.

See an overview of the research vision, the people and the motto of the Tyrex project-team in 3 slides.

Current projects

Big Data

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.