IBISC  GENOPOLE     

Contact
Florence d'Alché-Buc

Lab : IBISC 3190 FRE CNRS,

          Université d'Evry-Val d'Essonne

          523 Place des Terrasses, 91 Evry, France

  Tel: 33-(0)1-60-87-38-24

E-mail: dalche [at] ibisc [dot ] univ-evry [dot] fr

Directrice adjointe du laboratoire IBISC / co-head of the laboratory IBISC

Responsable de l'équipe AMIS-bio au sein d'IBISC / Head of AMISBIO research team (Machine Learning, Modeling and Data Integration for systems) biology) at IBISC

Keywords

  • Statistical machine learning and computational biology
  • Kernel-based methods for structured data (time-series and graphs)
  • Output Kernel Regression
  • Dynamical graphical models : modeling and inference
  • Ensemble methods : boosting, trees


Professeur des universités / Full professor in Computer Science at Université d'Evry-Val d'Essonne, Campus GENOPOLE
Formerly associate professor (1995-2004) at University Pierre et Marie Curie, Paris 6, France

HDR "Apprentissage par modélisation de données et combinaison de systèmes", 21 décembre 2001, Université Paris VI.

Director of IUP MIAGE (Evry) 2004-06
Head of level 1 (M1), Master of Computer Science (Master Informatique et Systèmes), Evry (2006-08) .
Head of level 2 (M2), Informatique, Mathématiques pour la biologie intégrative, shared by dept of Mathematics, Computer Science and Biology,
(see for instance Master Informatique et Systèmes), Evry (2008-09) .
Head of Master Informatique et Systèmes in 2009-10

Visiting researcher at Institut Pasteur, Paris: URA 2171 CNRS in 2008-09


Attention,
Les documents de cours sont sur ce site :
http://sites.google.com/site/amislearn/
Due to a pb with our Apache server, you cannot access to the links in our web site. Documents for training are available on this site:
http://sites.google.com/site/amislearn/

Last publications:

Florence d’Alché-Buc, Statistical Learning, entry for Encyclopedia of the Sciences of Learning, Springer, accepted 2010.

Florence d’Alché-Buc, Statistical Learning techniques, entry for Encyclopedia of the Sciences of Learning, Springer, accepted 2010.

F. Le Fèvre, S. Smidtas, C. Combe, M. Durot, Florence d’Alché-Buc and V. Schächter, CycSim - an online genome-scale metabolic model simulator and browser, integrated with pathways databases, note in Bioinformatics, to appear in 2009 (accepted).

Florence d’Alché-Buc, Nicolas Brunel, Estimation of parametric nonlinear ODEs for network identification, chapter in Learning and Inference in Computational Biology, N. Lawrence, M. Rattray, G. Sanguinetti, M. Girolami, MIT Press to appear in February 2010.


Selected Proceedings of Machine Learning in Systems Biology: MLSB 2007, 24–25 September 2007, Evry, France,  Florence d'Alché-Buc and Louis Wehenkel, BMC proceedings, Vol. 2. S4. Conference website, december 2008.

Actes de la 10ième Conférence d'Apprentissage automatique, Florence d'Alché-Buc, 2008, Cepadues.

C. Auliac, V. Frouin, X. Gidrol, F. d'Alché-Buc, Evolutionary Approaches for the Reverse-Engineering of Gene Regulatory Networks: a study on a biologically realistic  Dataset, BMC Bioinformatics 2008, 9:91.

Estimating parameters and hidden variables in nonlinear state-space models based on ODEs for biological networks inference , Minh Quach, Nicolas Brunel and Florence d'Alché-Buc, (Bioinformatics, November, 23:3209-3216,2007)

Inferring biological networks with output kernel trees,Pierre Geurts, Nizar Touleimat, Marie Dutreixand Florence d'Alché-Buc (BMC Bioinformatics, May, 3, 2007)

Last talks


New Job Offer
 
a two-year
postdoc position
available in 2010
Network reverse-modeling
More details in Job Offers page


 

Machine Learning in Systems Biology,2009

This international workshop will take place at Ljubljana, Slovenia on September 5-6, 2009.
All details here


Top of page Recommend page Print version Contact  Accessible Version  Imprint