Luis Pedro Coelho
Email：luispedro AT big-data-biology.org
Personal Profile: Young researcher, Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University. He has been engaged in biological research by big data, particularly focuses on the analysis of microbial populations by metagenome and fluorescence microscopic image methods. Before joining Fudan University, Louis has been engaged in postdoctoral research in the peer Bork group of the European Molecular Biology Laboratory (EMBL). Louis studied with Bob Murphy and received a doctorate from Carnegie Mellon University. He has published more than 30 SCI papers in international famous journals such as Nature, Science and eLife, and developed a number of biological image processing and microbiological data analysis software packages.
Research Direction: Engage in biological research using big data methods. Particularly focuses on the analysis of microbial communities using metagenomic and fluorescence microscopy.
Presentative Publication:
1. Shaojun Pan, Chengkai Zhu, Xing-Ming Zhao*, Luis Pedro Coelho*. A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments. Nature Communications (2022).
2. Luis Pedro Coelho*, Renato Alves, Álvaro Rodríguez del Río, ..., Henrik Bjørn Nielsen, Jaime Huerta-Cepas*, Peer Bork* . Towards the biogeography of prokaryotic genes. Nature (2021).
3. Célio Dias Santos-Junior, Shaojun Pan, Xing-Ming Zhao, Luis Pedro Coelho*. MACREL: antimicrobial peptide screening in genomes and metagenomes . PeerJ (2020).
4. Luis Pedro Coelho*. Voices of the new generation: science in a state of benign confusion. Nature Reviews Molecular Cell Biology (2020).
5.Luis Pedro Coelho, Jens Roat Kultima, Paul Igor Costea, Coralie Fournier, Yuanlong Pan, Gail Czarnecki-Maulden, Matthew Robert Hayward, Sofia K Forslund, Thomas Sebastian Benedikt Schmidt, Patrick Descombes, Janet R Jackson, Qinghong Li , Peer Bork . Similarity of the dog and human gut microbiomes in gene content and response to diet in Microbiome (2018).
