CV
General information
Full name: Raphael de Freitas Saldanha
Date of birth: April 18, 1985
Languages: Portuguese, English, French
Education
2022 - current. Post-doctoral researcher at Inria and LNCC. Artificial Intelligence applications on Public Health and Climate-Sensitive Diseases forecast.
2018 - 2021. Doctorate at Fiocruz, PPGICS. Information and Communication in Health. Data Science Applications for Public Health.
2015 - 2017. Master’s at UFJF - PPGSC on Public Health. Traffic violence and economic growth, an Spatial Econometrics analysis.
2008 - 2009. Specialization at UFJF. Computational Statistical Methods. Traffic violence and zero-alcohol-consumption law, an policy evaluation study.
2003 - 2007. Bachelor Degree at UFJF - ICHL-DG. Geography. Regionalization proposal for the Juiz de Fora city based on Census 2000 data.
Academic interests
Data science
- R
- Machine Learning
- tidyverse, tidymodels
- Shiny apps
- Quarto
- Plotly
- duckdb, SQLite
- ElasticSearch
- Kibana
GIS
- QGIS
- ESRI ArcGIS
- GeoServer
Other technologies
- Gephi
- LaTeX
- Linux
- MacOS
Work and teaching experience
2024 - current. Associate editor of RECIIS.
2017 - current. Research assistant at Fiocruz, ICICT, PCDaS.
2017 - current. Research assistant at Fiocruz, ICICT, Observatório de Clima e Saúde.
2021 - 2022 Research assistant at Fiocruz, IOC, Lathema Lab (ArboAlvo).
2017 - 2018 Research assistant at IRD, Maison de la Télédétection (Montpellier, FR).
2017 - current. Workshop teacher of Introduction to Spatial Econometry with R.
2013 - Teaching Assistant, Scientific Methodology at UFJF, CRITT.
2005 - 2016 GIS and statistics analyst at Plangeo (private company).
2012-2013 Distance learning supervisor of Statistics, course of Public Management.
2012 Approved for substitute teacher position of Thematic Cartography.
2011 Distance learning tutor for Business Statistics (Curso de Administração Pública à Distância – PNAP), UFJF.
2010 Teacher of Technologies for Environmental Planning, FAFISM.
Additional training
2023 - Nature-based solutions for tackling global health challenges. Heidelberg Institute of Global Health, HIGH, Alemanha.
2022 - Algorithms and Programming Methods for Big Data Laboratório Nacional de Computação Científica (LNCC, Brazil)
2023 - VII Escola Avançada em Big Data Analytics (USP, Brazil)
2022 - Public Health Disparities Geocoding Project 2.0. Harvard School of Public Health
2022 - Developing the SIR Model. Imperial College (Coursera)
2022 - Machine Learning methods with R, Curso-R school.
2021 - R Deploy methods, Curso-R school.
2021 - QBA/On-line - Sensibilização em Gestão da Qualidade, Biossegurança e Ambiente, Fiocruz.
2020 - Comunicação, Mídia e Saúde em Contexto de Emergências Sanitárias, UFAL.
2018 - Anthropological and Historical Approaches of Visualising Epidemics, COC, Fiocruz.
2018 - Information Visualization, Foundations and Applied Perception, NYU Tandon School of Engineering (Coursera).
2017 - Practical Machine Learning, Johns Hopkins University (Coursera).
2016 - Harvard - Brazil Collaborative Public Health Course, Harvard School of Public Health.
2015 - Introduction to Big Data, University of California, San Diego (Coursera).
2011 - Geoestatística com o uso do R, UFJF.
2007 - Workshop em modelagem em estudos longitudinais, UFJF.
2007 - Geomarketing - Conceitos e aplicações, Centro Universitário Senac.
2004 - Geografia e movimentos sociais, A América Latina, AGB.
2003 - Introdução à Gestão Ambiental Urbana, UFJF.
2003 - Flash Mx, CRITT, UFJF.
Hobbies
Photography
Cycling