• Luis Pedro COELHO
  • Research Direction:Computational Biology and Microbial Ecology Big Data and Machine Learning
  • Email:luispedro@big-data-biology.org
  • Website:
  • Brief Introduction:Luis Pedro Coelho has been working on biological research using big data methods. In particular, the focus is on the analysis of microbial populations using metagenome and fluorescence microscopy. Prior to joining Fudan, Luis Pedro Coelho has been engaged in postdoctoral research in the Peer Bork Academic Group of the European Molecular Biology Laboratory (EMBL). Luis Pedro Coelho received his Ph.D. from Bob Murphy and his Ph.D. at Carnegie Mellon University, where he received his master's degree from Instituto Superior Técnico in Lisbon.
  • Achievement:

    Coelho et al. Similarity of the dog and human gut microbiomes in gene content and response to diet in Microbiome (2018)

    Sunagawa,* Coelho*, Chaffron* et al. Structure and function of the global ocean microbiome in Science (2015)

    Coelho et al. Determining the subcellular location of new proteins from microscope images using local features in Bioinformatics, (2013)

    Coelho*, Peng*, and Murphy, Quantifying the distribution of probes between subcellular locations using unsupervised pattern unmixing in Bioinformatics (2010)

    Coelho et al., Nuclear segmentation in microscope cell images: A hand-segmented dataset and comparison of algorithms ISBI (2009)