Leo Bastos
Associate Professor
Rio de Janeiro, Rio de Janeiro, Brazil
Summary
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Senior🎓
Top SchoolLeo Bastos is an applied Bayesian statistician and associate professor with nine years of experience developing and applying advanced statistical methods to infectious disease epidemiology. Based in Rio de Janeiro, he combines long-term public health research at Fiocruz with academic leadership at IMPA Tech and prior international experience as a research fellow at the London School of Hygiene & Tropical Medicine. He holds a PhD in Statistics from the University of Sheffield and a track record of translating cutting-edge Bayesian models into actionable insights for public health decision-making. Known for bridging rigorous methodology with real-world surveillance problems, he has also taught statistics across multiple Brazilian universities, bringing pedagogy and policy-oriented research together.
9 years of coding experience
3 years of employment as a software developer
MSc, Statistics, MSc, Statistics at Federal University of Rio de JaneiroPhD, Statistics, PhD, Statistics at The University of SheffieldBSc, Statistics, BSc, Statistics at Universidade Federal de Minas Gerais
Portuguese, English, Spanish
Github Skills (12)
projeto9
surveillance8
r-package7
portal7
science6
r5
pooling4
react2
python2
alpha1
temporal1
transmission1
Programming languages (5)
Github contributions (5)
lsbastos/lsbastos.github.io
Apr 2018 - May 2026
Contributions:86 pushes, 2 branches in 8 years 2 months
lsbastos/popBR_mun
Dec 2022 - May 2025
Contributions:16 pushes, 1 branch in 2 years 4 months
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