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Mathieu Giraud

Mathieu Giraud, chercheur CNRS, conçoit des méthodes algorithmiques pour étudier les séquences. Il est membre de l'équipe de bioinformatique Bonsai, dans les centres de recherche CRIStAL (CNRS et Université de Lille) et Inria Lille. Menant depuis 10 ans des recherches sur l'analyse et la comparaison de séquences d'ADN, il travaille actuellement sur des méthodes pour mieux connaître les populations de globules blancs. Mathieu a également une activité d'informatique musicale. Il dirige l'équipe émergente Algomus qui se focalise sur l'analyse de partitions: est-ce qu'un ordinateur peut comprendre la musique ?

mathieu.giraud [at] univ-lille1.fr   –   @magiraud

research | teaching, popular science | publications, vitae

Contact information

Recent news

2015 News (show)

2014 News (show)

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Research interests : text algorithms for musicology and bioinformatics

Computer musicology

I am the head of the "Algorithmic musicology" emergent team CRIStAL/MIS/SCV. We focus on computational analysis of symbolic scores : given a music score (for example MIDI or .krn file), we aim to compute several analyses, ultimately studying the high-level structure of music. We try to propose models and methods that are both algorithmically efficient and musically pertinent.

Research topics

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

Bioinformatics

I am a member of the Bonsai bioinformatics group (Pr. Hélène Touzet) at CRIStAL / INRIA Lille, mainly working on NGS algorithms.

Research topics

Past research themes

  • FPGA and reconfigurable computing (2004-2007)
  • weigthed finite automata, epsilon-transitions (2004-2006)
  • identification of the canine olfactive repertory (2004-2005)

PhD Students

Administrative activities

Master/PhD proposals

Je propose en 2014 une thèse et deux stages de recherche pour M2 ou école d'ingénieur: Excellent students in algorithms for musicology or for bioinformatics interested in some of my research themes can always contact me. Please send a curriculum vitae.

Teaching and popular science (French)

Publications

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 emergent team (www.algomus.fr), designing methods and algorithms to study high-level structure of music such as musical forms, combining musical expertise, text algorithms and data analysis. Mathieu is also a member of the joint bioinformatics Bonsai team with the Institut National de Recherche en Informatique et Automatique (Inria), where he works on the Vidjil project (www.vidjil.org) on immune repertoire analysis. He is a former member of the Inria national evaluation board.

Positions and education

Last update : winter 2016

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