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Institute of Applied Data Science


Dr Adriano Barbosa

Adriano  Barbosa

UKRI Rutherford Fund Innovation Fellow / Lecturer

Faculty of Medicine and Dentistry
William Harvey Research Institute
+44 (0)20 7882 2105


Health Data Science, Transcriptomics Data Analysis, Multi-modal Data Integration, Literature Mining, Semantic Bioinformatics


Dr. Adriano Barbosa has received his PhD in Bioinformatics by the Federal University of Minas Gerais (Brazil) after training at the Structural and Computational Biology Unit of the European Molecular Biology Laboratory in Heidelberg (Germany). Then, he conducted a Postdoc training at the Max-Delbrück Center for Molecular Medicine in Berlin (Germany) at the Computational Biology and Data Mining Group.

Between 2013-2018, Dr. Adriano Barbosa worked as Research Associate at the Bioinformatics Core of the Luxembourg Centre for Systems Biomedicine at the University of Luxembourg, where he participated as scientific collaborator of the EU/EFPIA IMI projects eTRIKS, AETIONOMY and BioCOG.

Currently, Dr. Adriano Barbosa is a UKRI (MRC) Rutherford Fund Innovation Fellow and Lecturer at the School of Medicine and Dentistry of the Queen Mary University of London (William Harvey Research Institute). He is also PC member of the International Society for Computational Biology’s ISMB and member of the project management committee at the Informatics for Integrating Biology & the Bedside (i2b2 tranSMART) Foundation.


Publications of specific relevance to Applied Data Science


Gu W, Yildirimman R, Van der Stuyft E, Verbeeck D, Herzinger S, Satagopam V, Barbosa-Silva A, Schneider R, Lange B, Lehrach H, Guo Y, Henderson D, Rowe A and IMI OncoTrack and the IMI eTRIKS consortia (2019). Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium. Bmc Bioinformatics  vol. 20, (1) 10.1186/s12859-019-2748-y


Wethmar K, Barbosa-Silva A, Andrade-Navarro MA and Leutz A (2014). uORFdb--a comprehensive literature database on eukaryotic uORF biology. Nucleic Acids Res  vol. 42, (Database issue) D60-D67. 10.1093/nar/gkt952