Marcos Ennes Barreto

Marcos Ennes Barreto is an Assistant Professor (Education) in Data Science at the London School of Economics and Political Science (LSE), Department of Statistics. He teaches courses in Distributed Computing for Big Data, Artificial Intelligence, and Deep Learning, and coordinates capstone projects in the MSc Data Science programme. His research focuses on big data linkage and analytics, machine learning applications in healthcare and socioeconomic data, and generative AI in education. He is affiliated with the LSE Data Science Institute and an associate researcher at CIDACS (FIOCRUZ, Brazil), contributing to population-based cohort studies. Marcos holds a PhD in Computer Science (2010, UFRGS, Brazil) and a Postgraduate Certificate in Health Data Science (2018, UCL). He was a Newton International Fellow (2016-2018) and became a Fellow of the UK Higher Education Academy (FHEA) in 2020.

Key roles include Programme Director for the Generative AI Practitioners Certificate, Department Lead for AI in Education, and Strategic Lead for Knowledge Exchange. He has led over 20 international projects funded by organizations like NVIDIA, Google, Gates Foundation, and The Royal Society. His work spans AI ethics, pandemic response analytics, and educational technology innovation. Notable tools developed include AtyImo (probabilistic record linkage), CIDACS-RL (record linkage system), and the IDS-COVID-19 social disparities index. Awards include British Academy Talent Development Awards (2024) and Eden Centre Fellowships (2023-2025).

Research highlights include the 100 Million Brazilian Cohort, the IMAPI Early Childhood Index, and AI-driven malaria surveillance systems. He has published extensively in journals like the International Journal of Population Data Science and conferences on health informatics and AI education. His grants total over £10M, emphasizing interdisciplinary collaboration between academia, industry, and public health agencies.