Marcos Barreto

Marcos E. Barreto

Teaching Professor of Data Science

London School of Economics and
Political Science (LSE)

What I do:

  • Assistant Professorial Lecturer - Department of Statistics / LSE.
  • Teaching:
    • Undergraduate level: Databases.
    • Postgraduate level: Artificial Intelligence, Deep Learning, and Distributed Computing for Big Data.
  • Research:
    • Researcher in the Data Science research group.
    • Affiliate with the LSE Data Science Institute.
    • Associate Researcher at CIDACS (FIOCRUZ Bahia, Brazil), a data linkage and analytics centre in Brazil conducting epidemiological studies over massive population-based cohorts.
    • Associate Researcher at CPA-IA - Centre of Applied Research on Artificial Intelligence for Industry (SENAI-CIMATEC Bahia, Brazil).
  • Service:
    • Programme Director for BSc Data Science (maternity leave cover).
    • ST498 (MSc Data Science Capstone Project) coordinator.
    • GTA coordinator (MSc Data Science).
    • MSc Health Data Science admissions.
    • Departmental EDI committee member.
    • Head Class Teacher of the ST2195 (Programming for Data Science) course / BSc Data Science and Business Analytics / University of London.


  • Artificial Intelligence
  • Big Data Linkage & Analytics
  • Data Science
  • High-Performance Computing


  • Postgraduate Certificate in Higher Education, 2020-2021

    Fellow of the UK Higher Education Academy (FHEA)

    London School of Economics and Political Science (LSE)

  • Postgraduate Certificate in Health Data Science, 2017-2018

    Newton International Fellow (The Royal Society, UK)

    University College London (UCL)

  • PhD in Computer Science, 2010

    Federal University of Rio Grande do Sul (UFRGS)

  • MSc in Computer Science, 2000

    Federal University of Rio Grande do Sul (UFRGS)

  • BSc in Informatics, 1997

    Lutheran University of Brazil (ULBRA)



Assistant Professorial Lecturer

London School of Economics and Political Science (LSE)

Dec. 2020 - current London, UK

Associate Researcher

Institute of Health Informatics, University College London

Nov. 2016 – Nov. 2018 London, UK
Post-doctoral researcher (Newton International Fellowships - The Royal Society - UK).
Addressing heterogeneity and uncertainty in big data linkage. Prof. Spiros Denaxas (supervisor).

Associate Researcher

Centre of Data and Knowledge Integration for Health (CIDACS / FIOCRUZ Bahia)

Nov. 2016 - current Salvador, Brazil

Associate Professor

Federal University of Bahia (UFBA)

Aug. 2010 – Dec. 2020 Salvador, Brazil

Assistant Professor

La Salle University

Mar. 1998 – Apr. 2010 Canoas, Brazil

Assistant Professor

Lutheran University

Mar. 1998 – Oct. 2000 Canoas, Brazil



Decolonising data science teaching and assessment

LSE Eden Centre - IEAP Fellowships

Alert-early system of outbreaks with pandemic potential

CIDACS/FIOCRUZ & Pandemic Prevention Institute (The Rockefeller Foundation )

Design and validation of personalised risk prediction models over Brazilian health care data

The Royal Society (UK) - Newton International Fellowship Follow-on Funding

Standardisation of wearable-based algorithms for healthcare applications in developing countries

Royal Academy of Engineering (UK) - Frontiers of Engineering - Seed Funding

IMAPI - Early Childhood Friendly Municipal Index

Gates Foundation - Grand Challenges Brazil: Data Science Approaches

The 100 million Brazilian linked data and datacentre

Wellcome Trust - Biomedical Resources Grant

Treating heterogeneity and uncertainty in data integration: case study on Brazilian databases

The Royal Society (UK) - Newton International Fellowships

Integrating socioeconomic and health data to combat malaria

Gates Foundation - Grand Challenges Explorations

Design of a scientific repository (data lake) for big data applications

FAPESB - Bahia State Research Agency

BAMBU - Metropolitan network for trial and innovation on future internet

FAPESB - Bahia State Research Agency

Computational infrastructure to support big data applications in Health

UFBA - Early Doctor Research Grant

JiT-Clouds: Highly scalable Infrastructure-as-a-Service

Brazilian Ministry of Sciences, Technology and Innovation

GT-MC2: My sCientific Cloud

Brazilian Ministry of Sciences, Technology and Innovation

GT-UniT: Monitoring the BitTorrent universe

Brazilian Ministry of Sciences, Technology and Innovation

PMM: Modular multimedia platform

Brazilian Ministry of Sciences, Technology and Innovation

DECK: Parallel programming applied to cluster computing

UFRGS - CAPES MSc Fellowship

DPC++: Distributed processing in C++

UFRGS - CNPq Research Fellowship

ArMA-GAPP: Study and application of vector architectures

UFRGS - CNPq Research Fellowship


  • Department of Statistics, Houghton St., London, WC2A 2AE
  • Columbia House – Office 8.10