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Mathieu Giraud

(english below)

Mathieu Giraud, chercheur CNRS en informatique dans le centre de recherche CRIStAL (CNRS et Université de Lille), conçoit des méthodes algorithmiques pour étudier des séquences au service de projets culturels et de santé.

Il dirige l'équipe d'informatique musicale Algomus qui se focalise sur l'analyse de partitions. Une partition est une séquence musicale, chaque note ayant une hauteur et une durée: est-ce qu'un ordinateur peut aider à faire comprendre et même à faire apprécier la musique ?

Mathieu a mené durant 15 ans des recherches sur l'analyse et la comparaison de séquences d'ADN, notamment dans l'équipe de bioinformatique Bonsai, Il travaille sur des méthodes pour mieux connaître les populations de globules blancs, en particulier pour améliorer les diagnostics et les suivis de leucémie. Il est le responsable technique du consortium VidjilNet au sein de la Fondation Inria .

[Photo Mathieu]

CRIStAL, UMR CNRS 9189, Université de Lille
59 655 Villeneuve d'Ascq cedex
France

+33 3 28 77 85 54
+33 3 66 72 33 15


mathieu.giraud [at] univ-lille.fr
@magiraud

Publications

HAL, DBLP, Google Scholar

Habilitation Thesis (in French, 2016)

2018 News
Computer musicology

I am the head of the Algomus computer music team at CRIStAL/MIS/SCV. Can computers help us to understand music? We focus on computational analysis of symbolic scores: We aim to describe what is inside the music, ultimately studying the high-level structure of music. Combining musicological expertise and modeling, text algorithms and machine learning, we try to propose methods that are both algorithmically efficient and musically pertinent. We collaborate with music teachers and artists on art and science projects.

Topics
  • modeling and comparison of symbolic musical sequences: patterns, harmony, rhythm, texture
  • structure analysis: fugues, variations, sonata forms...
See the Algomus website
Bioinformatics

I worked on algorithms for next-generation sequencers (NGS) within the Bonsai bioinformatics group (Pr. Hélène Touzet) at CRIStAL / INRIA Lille, notably together with Mikaël Salson. I am now CTO of the non-profit VijilNet consortium.

See the Vidjil website
Topics
  • algorithms for NGS data, especialy on Repertoire sequencing (RepSeq) for hematology and immunology,
  • bioinformatics for health: methods and software, openness and ethics
  • (past) RNA patterns and suboptimal structures, ncRNA
  • (past) GPU/manycore high-performance computing in bioinformatics
PhD students
Teaching, popular science, science and arts
Short bio

Mathieu Giraud is a CNRS Associate Researcher in the Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL), the departement of Computer Science of the Université Lille, in France. He obtained a MS in École Normale Supérieure de Lyon in 2002, and a PhD from the Université Rennes 1 in 2005, and an habilitation thesis from Université de Lille in 2016.

He previously worked on weighted automata and specialized architectures using FPGAs, on high-performance computing using GPUs and many-cores architectures, and on RNA bioinformatics. His current research interests target text algorithms for computer musicology and bioinformatics. With his colleagues, he designs and implements algorithms analyzing music scores and DNA sequences. He works both on theoretical studies and on applied projects involving musicians and clinicians.

Mathieu leads the Algomus computer music team (www.algomus.fr). The team design methods and algorithms to study high-level structure of music such as musical forms, combining musical expertise, text algorithms and data analysis. Mathieu was also a member of the joint bioinformatics Bonsai team with Inria Lille, working on the Vidjil project (www.vidjil.org) on immune repertoire analysis. He is now the CTO of the non-profit VijilNet consortium, counseling the development of bioinformatics software for health. Mathieu is a former member of the Inria national evaluation board.