I am associate professor in computer science at INSA-Lyon (National Institute of
Applied Science).
Research interests
My research work is to design efficient constraint-based data mining
algorithms for 0/1 data and dynamic graph analysis.
I defended my PhD thesis in 2002, presenting a co-clustering
mining algorithm. During the following year, I had a post-doctoral
position at INRIA on using association rules and clustering techniques
on gene expression data. I co-supervised, with Jean-François
Boulicaut, the PhD thesis of Ruggero Pensa (defended in December 2006)
entitled A generic framework for constraint-based co-clustering:
application to transciptomic analysis. I also worked with Jérémy
Besson during his PhD on the extraction of formal concepts and
fault-tolerant patterns in 0-1 data, and with Loïc Cerf on
constraint-based closed pattern mining in n-ary relations. In 2008,
I spent 6 months in Bart Goethals group as research fellow at
Antwerp University (Belgium). I worked on inductive databases
prototyping, mining sets in sequences and constraint-based subspace
clustering. The following year, I had a delegate position at INRIA in the
D-net team to work on the analysis of dynamic graphs.
I recently worked on the following research projects:
- ANR COSINUS FOSTER project (2011-2014) "Spatio-Temporal Data Mining: Application to Soil Erosion Monitoring".
- Inductive Queries (IQ)
(European project FP6-516169, FET IST) (2005-2008): This project aims to identify primitives
necessary for the operation of an inductive database and design a
first prototype dedicated to the analysis of the transcriptome.
- ANR MDCO Bingo2 project (2008-2010) "Knowledge
Discovery For and By Inductive Queries in post-genomic
applications".