I am an epidemiologist, data scientist, and public health nutritionist. I am currently a Technical Consultant (Data Scientist) - PAHO/WHO and a PhD student in Public Health (Epidemiology) at the University of São Paulo (2022) and a Master of Public Health, with a concentration in Epidemiology, from the Institute of Collective Health (ISC) of the Federal University of Bahia - completed in 2020. I am a graduate in Nutrition from the Lúrio University - Nampula Polo (2015) and am pursuing a specialization in Public Health, with a concentration in Monitoring, Evaluation and Strategic Information, in addition to an MBA in Data Science and Analytics.
Currently, I am a reviewer for national and international scientific journals, such as the Epidemiology International Journal (EIJ), the American Journal of Preventive Medicine, the Journal of Multidisciplinary Healthcare, the Critical Reviews in Food Science and Nutrition, the Medical Science Monitor, the São Paulo Medical Journal, Research, Society and Development, the Current Computer-Aided Drug Design and the International Journal of Emergency Medicine. In addition, I am a member of the research group of the Maternal and Child Health Cohort, the Pensap (Nutrition Epidemiology and Public Health) research group of Fiocruz and the Laboratory of Big Data and Predictive Analysis in Health (LABDAPS) of FSP/USP, with an interest in Machine Learning algorithms for the prediction of outcomes related to maternal and child health. I am also part of the Covid-19 evidence synthesis team (Rede-covida).
Previously, I worked as a nutritionist at the Ministry of Health in Mozambique, in the Zambézia Provincial Health Directorate, where I was responsible for Nutrition in the Maganja da Costa District. I participated in several studies on the prevalence of malnutrition in the country, developed by SETSAN (Technical Secretariat for Food and Nutritional Security of Mozambique) under the tutelage of UNICEF and the World Food Program (WFP). I have experience in conducting research, management, planning, monitoring and evaluation of health programs, with an emphasis in the areas of Nutrition, Public Health, Epidemiology, Food Security and Quantitative Methods in Health (Data Analysis).
I have a great interest in quantitative methods applied to health, from Descriptive, Inferential and Bayesian Statistics, to Mathematical Modeling and Prediction Methods through Machine Learning algorithms. My goal is to contribute to global health through these knowledge. In my day-to-day life, I use SPSS, STATA and the programming languages R and Python. I also use QGIS.
Keywords: Epidemiology, Cardiovascular Diseases, Nutrition, Biostatistics, Public Health, Machine Learning and Food Environment.