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Lucas Godoy

PhD Candidate / TA /GA

University of Connecticut

About me

Hi, my name is Lucas. I’m from Brazil and currently, I’m a P.h.D. Candidate in Statistics at UConn.

About this website, it is intended to exercise my writing in English. As a P.h.D. student, it has been hard to find time for blogging. However, I will write here about interesting (at least to me) things whenever is possible. Additionally, you can find here information about my Talks, ongoing projects, and my CV.

Interests

  • Statistical Computing
  • Spatial Statistics
  • Bayesian Inference

Education

  • PhD in Statistics, in progress

    University of Connecticut

  • MSc in Statistics, 2019

    Universidade Federal de Minas Gerais

  • BSc in Statistics, 2016

    Universidade Federal do Rio Grande do Sul

Blog

Maximum Likelihood Estimation
A simple plot for correlation between response and explanatory variables
WordClouds - Visualizing gender inequality in income
My first #TidyTuesday - A world map GIF

Projects

transpbrr - An R package

This is an independent project about the public expenses made by the Brazilian government.

Talks

transpbrr

(In portuguese) Talk about the R package transpbrr.
Feb 6, 2019 12:00 AM Porto Alegre

Voronoi Data Linkage

Extracting Information from Polygons to Points.
Oct 16, 2018 12:00 AM Salvador

Web Scraping, Web Services e API’s

(In portuguese) Extracting data from the web using R.
Oct 1, 2018 12:00 AM Porto Alegre

Analyzing Brazilian Public Data

(In portuguese) Talk about Brazilian open data for undergraduate students.
Aug 1, 2018 1:00 PM Porto Alegre

Voronoi Cells

Visualizing intramunicipality votes distribution in Brazil.
May 18, 2018 12:00 AM Coritiba

Accomplish­ments

Voronoys - Understanding voters’ profile in Brazilian elections.

1st Shiny Contest RStudio Mar 2019
Honorable mention.

Voronoi Data Linkage

1st Conference on Statistics and Data Science Nov 2018 – Nov 2018
Best Paper Award

An app to visualize and understand several aspects of the Brazilian elections.

1st CEPESP Data Challenge: Deciphering Brazilian Elections Dec 2017
Challenge winner.