Luis Pedro Coelho (PI)

Luis Pedro Coelho

Luis Pedro Coelho leads the Big Data Biology Lab. He has background in both computer science and computational biology.

Personal website:

Célio Dias Santos Júnior (postdoctoral researcher)

Célio Dias Santos Júnior

(June 2019—present)

Célio recently obtained his PhD degree on the use of bioinformatics to analyze terrestrial organic matter degradation by Amazon river microbes through metagenomics and population genomes at the Federal University of São Carlos (UFSCar) - Brazil, and Institut del Ciencies del Mar - Barcelona, Spain (ICM). Previously, his master’s degree in the same instution was on the use of computer technologies for ab initio protein production, and his bachelor degree is in Biotechnology and Biochemistry obtained at the Federal University of Uberlândia (UFU) - Brazil, and at the Faculty of Science and Technology in the University of Coimbra (FCTUC) - Portugal. His main interests range from the interface of bioinformatics applied to metagenomics, machine learning and protein structure. He specializes in the analysis of metagenomes and metatranscriptomes, wet lab routines and also bioprospection of biotechnological important proteins in environmental microbiota samples.

Google Scholar

Shaojun Pan (graduate student)

Shaojun Pan

(visitor April-Sept. 2019; full-time since Sept. 2019)

Shaojun is a software engineering major at the Nanjing University of Science and Technoloygy. His main interests are machine learning and data mining.

Contact Shaojun

Yiqian Duan (graduate student)

(since Feb. 2020)

Yiqian Duan

Yiqian is a bioinformatics major in Huazhong University of Science and Technology. Her main interest is small proteins of microbiome in global scale.

Svetlana Ugarčina Perović (postdoctoral researcher)

Svetlana Ugarčina Perović

Svetlana is a microbiologist with expertise in high-throughput culture-dependent and culture-independent characterization of environmental and human microbiome. She holds a B.S. in Environmental Sciences and a Ph.D. in Environmental Microbiology from the University of Novi Sad (Serbia). Her postdoctoral work at the University of Glasgow (the UK) and University of Porto (Portugal) focused on drinking water microbiome in distribution systems and urinary microbiome in women health. She has been writing for the Microbiome Digest, a daily on-line summary of scientific microbiome news. Her current interest includes computational approaches in microbial ecology to explore dynamics of antimicrobial resistome in the global microbiome.

Svetlana on Twitter

Anna Cuscó (postdoctoral researcher)

Anna Cuscó

Anna’s background is on host-associated microbiomes. She began by taxonomically profiling microbiomes with marker genes (skin, fecal, milk, among others), and continued by exploring novel long-read sequencing strategies applied to the microbiome field. She is currently interested in large-scale metagenomics analysis, especially regarding host-associated microbiomes. Anna earned an industrial Ph.D. from the Autonomous University of Barcelona in 2017, performed in collaboration with Vetgenomics company. She holds a B.S. in Biotechnology (Autonomous University of Barcelona, Spain) and a MSc in Biomedical research (Pompeu Fabra University, Spain).

Anna on Twitter

Hui Chong (research assistant)

Hui Chong

Hui is a research assistant at Big Data Biology lab. He obtained his Bachelor’s degree in Huazhong University of Science and Technology - China, where he majored in Bioinformatics and studied microbiome. During his undergraduate, he has practical experience in motif finding, RNA-seq analysis, and especially microbial source tracking. His main interests range from method development to data-driven knowledge discovery in microbiome. He’s also very interested in Machine learning, especially generalization of machine learning models in the contexts of microbiome.



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