Bruno M. Carvalho is a visiting researcher from the Global Health Resilience team of the Barcelona Supercomputing Center. At the Φ-lab he is exploring the advantages, challenges, and limitations of using climate models and EO satellite data for infectious diseases modelling with Rochelle Schneider and Alesandro Sebastianelli. He is also interested in the applications of machine learning and AI for forecasting disease outbreaks.
Bruno holds a PhD in Ecology and Evolution, MSc in Parasitology, and BSc in Biology. His research training focused on the eco-epidemiology of leishmaniasis and its vectors in Brazil. As a junior postdoc at Fiocruz, he was part of Brazil’s largest climate change research consortium (INCT Mudanças Climáticas) and author in Brazil’s Fourth National Communication to the United Nations Framework Convention on Climate Change. After a postdoctoral stay at the Rio de Janeiro Botanical Gardens developing models for ecological restoration projects, he moved to Spain as a Severo Ochoa fellow at the Barcelona Institute for Global Health, where he explored the links between infectious diseases and climate.
Currently, Bruno works as a postdoctoral researcher at the Barcelona Supercomputing Center, where he develops infectious disease models to provide early warnings and decision support to stakeholders in Europe, Latin America and the Caribbean. He builds indicators to track the impacts of climate change on health in Europe and harmonizes data from multiple sources and formats using open-access and reproducible digital toolkits. His broader research interests are on vector-borne disease ecology, particularly in how climate and land use change affect diseases such as leishmaniasis, dengue, West Nile fever, and malaria.
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