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

  • 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

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