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Benjamin Haibe-Kains I am Research Fellow in the Computational Biology and Functional Genomics Laboratory, headed by Professor John Quackenbush, at the Dana-Farber Cancer Institute, Harvard School of Public Health. My primary research interests concern the development and application of machine learning algorithms to analyze high-throughput genomic data in biomedicine, mostly in cancer studies. My ultimate goal is to translate my findings into the clinic, thus really affecting patients' lives. I am currently working on extending network inference from gene expression data to predict the complex behavior of biological systems such as the response of multiple targeted anticancer therapies. My long-term research focuses on the integration of high-throughput data from various sources (DNA, RNA, methylation or proteins) to analyze simultaneously multiple facets of carcinogenesis; next-generation sequencing technologies are particularly promising to leverage the data required to achieve this goal. I was awarded a prestigious Fulbright grant-in-aid for my postdoctoral research (2009-2010).

Prior to joining Professor Quackenbush's laboratory, I earned my PhD in bioinformatics at the Université Libre de Bruxelles (ULB), Belgium (2005-2009). I worked both in the Machine Learning Group (ULB), headed by Professor Gianluca Bontempi, and the Breast Cancer Translational Research Laboratory (Institut Jules Bordet, Belgium), headed by Professor Christos Sotiriou. In my doctoral work, I gained exposure to biomedical research which, combined with my background in computer science, allowed me to develop novel methodologies for prognostication of breast cancer patients using gene expression profiling. My interdisciplinary contributions have brought new insights in biological processes critical to a patient's clinical outcome and have been published both in top bioinformatics journals such as Bioinformatics, Genome Biol, PNAS, and BMC Genomics, and clinical journals such as Nat Med, Lancet Oncol, J Natl Cancer Inst, J Clin Oncol, Clin Cancer Res and Breast Cancer Res. I received a distinguished Solvay award for my doctoral research in 2010.

As a native of Brussels, Belgium, I received my degree in computer science at ULB. I consequently earned a master degree both in bioinformatics (2004) and advanced studies in science (2005) from ULB. Accomplished in interdisciplinary challenges I have gained broad expertise over the years in machine learning and bioinformatics, as well as in oncology and translational research.

Last update 22/11/2009.