Current address:

Universite Libre de Bruxelles
Boulevard du Triomphe CP 212
Bruxelles

Belgium

Education:

PhD in Computer Science
Universite Libre de Bruxelles
2005 - 2009

MSc in Advanced Sciences
2004 - 2005

MScin Bioinformatics
Universite Libre de Bruxelles
2003 - 2004

Experience:

Research Fellow (postdoc) Harvard School of Public Health 2009 - pres

PhD Student Universite Libre de Bruxelles 2005 - 2009

Master Student in Bioinformatics Universite Libre de Bruxelles 2003 - 2004

Skills:

Machine Learning

Bioinformatics

Computation Biology

Biomedicine

Statistics

Activities:

Fulbright Award for postdoctoral research

Interests:

Cancerogenesis

Supervised Learning in high-dimensional data

Unsupervised Learning in high-dimensional data

References:

Amplification of LAPTM4B and YWHAZ contributes to chemotherapy resistance and recurrence of breast cancer. Li Y et al in Nature Medecine, 2010.

Evaluation of an RNA interference screen-derived mitotic and ceramide pathway meta- gene in paclitaxel-treated primary ER-/PR-/ERBB2- breast cancer: a retrospective analysis of five clinical trials.. Juul N et al in Lancet Oncology, 2010.

Gene expression profiling in breast cancer: Understanding the molecular basis of his- tologic grade to improve prognosis, Sotiriou C et al in Journal of National Cancer Institute, volume 98, pages 262-272, February 2006

A fuzzy gene expression-based computational approach improves breast cancer prog- nostication Haibe-Kains B etal in Genome Biology, 2010.

A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all? Haibe-Kains B et al in Bioinformatics, volume 24, number 19, pages 2200- 2208, July 2008.

Other: