Rafael Lopes
Postdoctoral Research Associate
New Haven, Connecticut, United States
Summary
👤
Senior🎓
Top SchoolRafael Lopes is a postdoctoral researcher and data scientist with eight years of experience applying dynamical systems theory, chaos dynamics, and time-series analysis to epidemiology and ecological data. Based at Yale School of Public Health, he develops nowcasting methods that fuse genomic and epidemiological data to track COVID-19 variant succession and its public-health impacts. His PhD and prior research on 20 years of climate and dengue data in Brazil underpin a specialty in how climate drivers imprint signatures on epidemic variability (DENV, CHIKV, ZIKV). Rafael blends theoretical rigor from physics with practical surveillance tool development, having built nowcasting and policy-support systems for hospitals and public-health networks. Colleagues value his ability to turn complex nonlinear dynamics into actionable insights for epidemic preparedness and climate-sensitive disease forecasting.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Universidade Estadual Paulista Júlio de Mesquita FilhoBachelor's degree, Physics, Bachelor's degree, Physics at Universidade Estadual de Campinas / UNICAMPBachelor's degree, Physics, Bachelor's degree, Physics at Universidade Estadual de CampinasColégio Santo Agostinho
English, Spanish, Chinese
Github Skills (65)
rio10
r9
geopandas9
variants9
knitr9
bookdown9
meta9
geopackage9
r-package9
brazil8
datasets8
dm8
rstudio8
spatial-data8
geography7
Programming languages (5)
Github contributions (5)
covid19br/nowcaster
Feb 2022 - Oct 2022
Repository for a nowcasting by INLA
Contributions:4 releases, 8 reviews, 171 commits in 8 months
nowcastinladmservernowcasting
rafalopespx/cell_towers_south_america
Jan 2022 - Jan 2022
Contributions:13 commits, 12 pushes, 1 branch in 23 days
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