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Nicola Segata

nicola-segata.jpg
 
Contact Information:

Biostatistics Department,
School of Public Health,
Harvard University

655 Huntington Avenue
Boston, MA 02115, US

nsegata@hsph.harvard.edu
phone  #  (617) 432-1128

Postdoctoral Fellow


I obtained my PhD from the University of Trento (Italy) in December 2009. After a postdoctoral period at CIBIO (Unitn) I moved to Boston in July 2010. My research interests range from machine learning to bioinformatics. Currently I focus on the computational analysis of microbial communities using metagenomics data, microbial and comparative genomics, kernel methods for computational biology, and computational approaches for data integration.


Curriculum Vitae


You can find my CV (with all publications) here.


Selected Publications (see CV for the complete list)

  • N. Segata, L. Waldron, A. Ballarini, V. Narasimhan, O. Jousson, and C. Huttenhower. "Efficient metagenomic microbial community profiling using unique clade-specific marker genes", Nature Methods, in press, 2012
  • N. Segata, S. Kinder-Haake, P. Mannon, K. P Lemon, L. Waldron, D. Gevers, C. Huttenhower, and Jacques Izard. "Composition of the Adult Digestive Tract Microbiome Based on Seven Mouth Surfaces, Tonsils, Throat and Stool Samples", Genome Biology, in press, 2012
  • The Human Microbiome Consortium (including Nicola Segata). Structure, Function and Diversity of the Healthy Human Microbiome. Nature, in press, 2012
  • N. Segata and C. Huttenhower. "Toward an efficient method of identifying core genes for evolutionary and functional microbial phylogenies", PLoS ONE, 6(9):e24704, 2011
  • A. Sczesnak, N. Segata, X. Qin, D. Gevers, J.F. Petrosino, C. Huttenhower, D. Littman, and I. Ivanov. "The genome of Th17 cell-inducing segmented filamentous bacteria reveals extensive auxotrophy and adaptations to the intestinal environment". Cell (Host & Microbe), 10:260–272 2011
  • N. Segata, J. Izard, L. Waldron, D. Gevers, L. Miropolsky, W.S. Garrett, and C. Huttenhower. "Metagenomic Biomarker Discovery and Explanation". Genome Biology 12(R60), 2011 Article flagged as "Highly accessed" and selected for journal cover.
  • N. Segata and E. Blanzieri. "Fast and scalable local kernel machines", Journal of Machine Learning Research, vol. 11, pages 1883–1926, June 2010
  • N. Segata and E. Blanzieri. "Fast local support vector machines for large datasets", in P. Perner, editor, Machine Learning and Data Mining in Pattern Recognition, 6th International Conference, MLDM 2009, pages 295–310, Leipzig, Germany, 2009. Springer. Best Paper Award.