Lilianne Nakazono
Tecnologista at Observatório Nacional
Rio de Janeiro, Brazil
Summary
👤
Senior🎓
Top SchoolLilianne Nakazono is a technologist and astrophysics PhD candidate with nine years of experience applying statistics and computational methods to large-sky survey data. Trained in both astronomy and statistics at the University of São Paulo, she specializes in designing algorithms to identify new celestial objects and optimize star–quasar classification for projects like JPAS. She has blended research and teaching roles—ranging from undergraduate TA positions to a postdoctoral appointment—before joining Observatório Nacional in Rio de Janeiro. Lilianne combines rigorous statistical grounding with practical data-engineering skills, enabling reproducible pipelines for high-volume astronomical datasets. Colleagues describe her work as both methodical and creative, often finding subtle data-driven solutions that reveal faint or rare objects in noisy surveys. She brings a rare dual perspective as a scientist and technologist, comfortable moving between theoretical modeling and production-ready implementations.
9 years of coding experience
1 year of employment as a software developer
Astronomy, Astronomy and Astrophysics, Astronomy, Astronomy and Astrophysics at Universidade de Sao PauloPh.D., Astrophysics, Ph.D., Astrophysics at University of São PauloBacharela em Estatística, Estatística e Probabilidade, Bacharela em Estatística, Estatística e Probabilidade at IME-USP
Portuguese, English, Spanish, Japanese
Github Skills (27)
rows7
memory-mapped-file6
tabular5
comet-ml5
python5
visualization5
data-science4
pyarrow4
machine-learning4
statistics4
dataframe4
deep-learning3
apache3
data-analysis3
pandas3
Programming languages (3)
Github contributions (5)
marixko/marixko.github.io
Jul 2018 - Nov 2022
My website
Contributions:1 PR, 127 pushes, 6 branches in 4 years 4 months
react
marixko/arxivfyme
Oct 2022 - Oct 2022
Contributions:43 commits, 14 PRs, 34 pushes in 1 day
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