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Hello there 👋

I'm Ph.D. Candidate in Astronomy at the Universidade de São Paulo, Brazil. B.Sc. in Statistics and B.Sc. in Astronomy from the same University. Curriculum Vitae and contacts can be found in my website.

  • Current member of S-PLUS
  • Former vice-director (2023) and former director (2022) of Research & Development of Turing USP
  • My pronouns are she/her/hers
  • Check out my publications
  • I'm a cat person (very important info about me, yep)

Main research interests

  • Machine Learning, Data Science, Statistics
  • AGNs, QSOs, galaxy evolution, LSS
  • Stellar Astrophysics

Badges

Python R Fortran Julia C Markdown LaTeX

Jupyter Notebook Vim Sublime Text Visual Studio Code RStudio

Matplotlib NumPy Pandas Plotly scikit-learn SciPy Keras TensorFlow OpenCV

Notion Krita Figma Canva Adobe XD Adobe Photoshop

Lilianne Nakazono's Projects

academia-hugo icon academia-hugo

Academia is a Hugo resume theme. You can showcase your academic resume, publications and talks using this theme.

annz icon annz

Machine learning methods for astrophysics (photometric redshift and PDF estimation, star/galaxy classification etc.)

guia_machine_learning icon guia_machine_learning

Guia com conteúdos básicos em português sobre Estatística e Machine Learning voltado para estudantes de Astronomia.

listing_arxiv icon listing_arxiv

Print and/or send to your gmail a personalized list of today's articles published in ArXiv based on your pre-defined multiple sets of keywords. The script returns: title, abstract and the ArXiv link for each article. Entries are grouped by your pre-defined key.

mnras_nakazono_2021 icon mnras_nakazono_2021

This repository contains (almost) all codes for plots and analyses in Nakazono et al. 2021 (submitted to MNRAS).

redshift_lines_splus icon redshift_lines_splus

Streamlit app to visualize the emission lines as a function of redshift, including S-PLUS filter transmission curves

workshop_pyladies icon workshop_pyladies

Este repositório contém todo material utilizado no workshop "Introdução à Machine Learning" realizado em 24/08/2019

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