Team
Coordination
Flávio Codeço Coelho
PI of the Mosqlimate and associate professor at the School of Applied Mathematics at FGV, Rio de Janeiro, Brazil. I am also part of the GRAPH network, based at the University of Geneva, where I am their data analysis coordinator. In Brazil, I am also one of the coordinators of the Infodengue project. My research interests revolve around the epidemiology of Infectious diseases from the point of view of math, statistics, and data science.
Leonardo Bastos
Public health researcher at the Scientific Computing Program (PROCC), Oswaldo Cruz Foundation (Fiocruz). He is a research fellow at FAPERJ and CNPq. His main research is on developing and applying (Bayesian) statistical methods for infectious disease epidemiology. He is a co-lead on WP2.
Luiz Max Carvalho
Assistant Professor at the School of Applied Mathematics, Getulio Vargas Foundation. His interests are in Biostatistics, particularly Markov chain Monte Carlo, statistical phylogenetics, and model combination. He co-led on WP2, hoping to bring state-of-the-art model comparison and combination techniques to predict arboviral diseases.
Leon Alves
Professor at CEFET, Rio de Janeiro, Brazil. Developer of the Conta Ovos application, which aims to monitor the density of Aedes aegypti eggs in space and time. My interests are in image processing and application design. WP1 Coordinator.
Eduardo Corrêa Araujo
Bachelor's in control and automation engineering at UTFPR. He has experience in analyzing public health data and developing machine learning models applied to epidemiological contexts. His interests include data science applied to health, mathematical and computational modeling of diseases, development of tools in Python, and interdisciplinary collaboration in social impact projects. He works as a data scientist in the WP2 of the Mosqlimate project. He is also Mosqlimate project manager.
Iasmim Ferreira de Almeida
Postdoctoral researcher at FGV EMAp. PhD and Master's in Public Health Epidemiology from ENSP/FIOCRUZ. Researcher at the Infodengue project and Mosqlimate, she is a researcher at the WP2, where she works with models involving arbovirus transmission patterns and their epidemiological and climatic determinants. She is also Mosqlimate’s Community Engagement Manager and lead researcher at WP3. Her research interests focus on communicable diseases and their epidemiology.
Data Scientist
Luã Bida Vacaro
Computer Science student and Open Source enthusiast. Software Developer & DevOps at Getulio Vargas Foundation, responsible for the development, deployment and maintenance of Mosqlimate's API along with the WP2 group.
Lucas Monteiro Bianchi
Statistician and data scientist, holding a PhD in Epidemiology in Public Health from ENSP/FIOCRUZ. My professional experience includes applying statistical and machine learning methodologies to diverse fields such as agriculture and healthcare, as well as contributing to public health initiatives and data analysis for international organizations.
Postdoctoral researchers
Fabiana Ganem
A master's and a doctorate in Epidemiology and Public Health from Universidade de Brasília and Universitat Autònoma de Barcelona. She is a postdoctoral researcher at FGV EMAp and a member of the Mosqlimate Team, researching dengue surveillance strategies and the relationship between socioeconomic, climatic, and environmental factors with arboviral diseases. Fabiana is Mosqlimate’s Forecast Sprint coordinator, managing our annual International forecasting competitions.
Beatriz Laiate
Postdoctoral researcher at FGV EMAp and a member of the Mosqlimate Team doing research on Bayesian inference, Mathematical modeling of Dengue fever, and Possibility Theory. Holds a master's and a Ph.D. in Applied Mathematics from the University of Campinas. She is curious about hybrid models of infectious diseases involving dynamical fuzzy systems, neural networks, and statistical methods of uncertainty quantification.
Marcio Maciel Bastos
Physics PhD candidate, holds a profound affinity for dynamic systems, statistical mechanics, Bayesian inference, and machine learning. Currently contributing his insights as a collaborative researcher to the Mosqlimate project.
Davi Sales Barreira
Postdoctoral researcher at FGV EMAp and a member of the Mosqlimate Team, where he focuses on dengue forecasting using machine learning and optimal transport methods within spatio-temporal modelling. Holds a PhD in Applied Mathematics and Data Science from FGV EMAp.
Julie Souza
Postdoctoral researcher at FGV EMAp. She is an applied mathematician, physicist, and data scientist with a PhD in Applied Mathematics and Data Science. She holds a master’s and a bachelor’s degree in Physics. Her research focuses on mathematical modeling of epidemics, emphasizing using epidemiological model-informed neural networks (PINNs) to capture complex dengue dynamics. She also has expertise in machine learning, causal inference, and developing data pipelines for epidemiological analysis. Her work seeks to integrate advanced computing and artificial intelligence methods for understanding and controlling infectious diseases.
Students
Ezequiel Braga
Master's student in Applied Mathematics and Data Science at FGV EMAp. His work focuses on Bayesian modeling, particularly in power priors. He currently serves as a research assistant on the hdbayes R package project and Mosqlimate. His primary research interests lie in biostatistics, especially in Bayesian and computational statistics.
Zuilho Segundo
Undergraduate student in Data Science and Artificial Intelligence at FGV EMAp. I'm particularly interested in Machine Learning and Reinforcement Learning. Currently, I'm working on reinforcement learning models where agents are designed to optimize testing distribution for arboviral diseases such as dengue and chikungunya across different regions.
Sillas Rocha
Undergraduate student in Data Science and Artificial Intelligence at FGV EMAp. He is currently working on integrating an AI assistant into the Mosqlimate platform. His interests focus on Machine Learning, particularly Deep Learning models.
Associated researchers
Raquel Martins Lana
Marie Curie fellow at the Barcelona Supercomputing Center in the Global Health Resilience group. Her background is in quantitative epidemiology and her research focuses on infectious disease dynamics and their association with environmental, climate, and social factors. She is a collaborator in the Mosqlimate project.
Thais Riback
Biologist with a MSc and PhD in Zoology. I am interested in studies on ecology and population dynamics of arbovirus vectors and their impact on the dynamics of disease transmission. I currently work as an analyst at the Epidemiological Intelligence Center of the Secretariat of Health of Rio de Janeiro City and as a collaborating researcher in the Infodengue system.
Laís Picinini Freitas
Researcher at the Scientific Computing Program (PROCC/Fiocruz), with a master's and PhD in Epidemiology from ENSP/Fiocruz. She completed postdoctoral training at PROCC and CReSP, Université de Montréal. Her work focuses on Bayesian modeling of infectious diseases, especially arboviruses, analyzing spatial patterns and socio-environmental determinants.
Bruno Carvalho
Postdoctoral researcher at the Barcelona Supercomputing Center in the Global Health Resilience group, where he develops infectious disease models for early warning and decision support. He builds indicators to track the impacts of climate change on health using open-access and reproducible digital toolkits. He is a biologist, PhD in Ecology and Evolution, and MSc in Parasitology. As a collaborator in Mosqlimate, Bruno is developing deep learning models to predict dengue in Brazil using data from the Infodengue system.