CV

Curriculum vitae for Bruno Santos.

Contact Information

Name Bruno Santos
Professional Title Researcher in Statistics
Email brunodosantos@gmail.com

Experience

  • 2024 - 2025

    Lisbon, Portugal

    Researcher in Statistics
    CEAUL (Centro de Estatistica e Aplicacoes - Universidade de Lisboa)
  • 2021 - 2023

    Canterbury, United Kingdom

    Lecturer in Statistics
    University of Kent
    • Teaching: Statistics I; Probability and Classical Inference (2021/2022); Advanced Statistical Modelling; Predictive Modelling (2022/2023).
  • 2019 - 2021

    Vitoria, Brazil

    Assistant Professor
    Federal University of Espirito Santo (UFES)
    • Teaching: Statistics I; Statistics II; Probability and Statistics I; Analysis of Categorical Data; Computational Statistics II.
  • 2018 - 2019

    Goettingen, Germany

    Postdoctoral Researcher
    Georg-August-Universitaet Goettingen
    • Teaching: Generalized Regression; Spatial Statistics.
  • 2016 - 2018

    Salvador, Brazil

    Assistant Professor
    Federal University of Bahia (UFBA)
    • Teaching: Statistical Methods; Bayesian Inference.

Education

  • 2012 - 2016

    Sao Paulo, Brazil

    PhD
    University of Sao Paulo
    Statistics
    • Supervisor: Heleno Bolfarine
    • Thesis title: Extensions of Bayesian quantile regression models
    • Research visit at Duke University (2013-2014) under Alan Gelfand and Surya Tokdar
  • 2010 - 2012

    Sao Paulo, Brazil

    MSc
    University of Sao Paulo
    Statistics
    • Supervisor: Silvia Nagib Elian
    • Dissertation title: Quantile regression models
  • 2005 - 2008

    Sao Paulo, Brazil

    BSc
    University of Sao Paulo
    Statistics

Publications

  • 2025
    A defective cure rate quantile regression model for male breast cancer data
    Journal of Applied Statistics, 52(8), 1485-1512
  • 2024
    Using population register data and capture-recapture models to estimate over-coverage in Sweden
    Scientific Reports 14, 30551
  • 2024
    Multiple systems estimation for studying over-coverage and its heterogeneity in population registers
    Quality & Quantity 58, 5033-5056
  • 2023
    Bias reduction of maximum likelihood estimates for an asymmetric class of power models with applications
    REVSTAT - Statistical Journal, 21(4), 491-507
  • 2020
    Noncrossing structured additive multiple-output Bayesian quantile regression models
    Statistics and Computing
  • 2018
    Bayesian quantile regression analysis for continuous data with a discrete component at zero
    Statistical Modelling
  • 2015
    Bayesian analysis for zero-or-one inflated proportion data using quantile regression
    Journal of Statistical Computation and Simulation
  • 2015
    Influence measures in quantile regression models
    Communications in Statistics - Theory and Methods
  • 2014
    Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of Sao Paulo, Brazil
    Environmetrics

Conference Proceedings

  • 2020
    Growth curves for multiple-output response variables via Bayesian quantile regression models
    Proceedings of the 35th International Workshop on Statistical Modelling
  • 2018
    Structured additive multiple-output noncrossing Bayesian quantile regression models
    Proceedings of the 33rd International Workshop on Statistical Modelling
  • 2015
    Analysis of Brazil's presidential election via Bayesian spatial quantile regression
    Proceedings of the 30th International Workshop on Statistical Modelling
  • 2013
    A two-part model using quantile regression under a Bayesian perspective
    Proceedings of the 28th International Workshop on Statistical Modelling
  • 2012
    Analysis of residuals in quantile regression: an application to income data in Brazil
    Proceedings of the 27th International Workshop on Statistical Modelling

Awards

  • 2022
    Collaborations with Developing Countries, Grant Scheme 5

    London Mathematical Society (Grant amount: GBP 1,972)

  • 2018
    2nd place, Best poster award

    23rd Brazilian National Symposium of Probability and Statistics

  • 2015
    Best Student Poster Toyota Corporation Award

    30th International Workshop on Statistical Modelling (USD 500)

  • 2013
    Student Travel Grant

    28th International Workshop on Statistical Modelling (EUR 800)

Teaching

  • University of Kent (2021/2022): Statistics I; Probability and Classical Inference
  • University of Kent (2022/2023): Advanced Statistical Modelling; Predictive Modelling
  • Federal University of Espirito Santo (2019-2021): Statistics I; Statistics II; Probability and Statistics I; Analysis of Categorical Data; Computational Statistics II
  • Georg-August-Universitaet Goettingen (2018-2019): Generalized Regression; Spatial Statistics
  • Federal University of Bahia (2017): Statistical Methods; Bayesian Inference

Short Courses

  • 3rd Paraibano Meeting of Statistics (2021): Regression models beyond the conditional mean
  • 24th Brazilian National Symposium of Probability and Statistics (postponed, 2020): Visualization of spatial effects in regression models
  • XIII School of Regression Models (2013): Regression models with truncated and censored responses
  • Universidad de Antofagasta (2017): Quantile regression: a classical and a Bayesian approach

Service and Activities

  • Member, Migrating Trajectories research project (University of Stockholm and University of Kent)
  • Local organizing committee, Movement and migration in ecology workshop (University of Kent, May 2022)
  • Local organizing committee, 1st Workshop on Data Science and Statistical Learning (UFES, November 2019)
  • Leader, Observatory of Covid-19 in favelas of Espirito Santo (OCOFA)
  • Program Committee member, useR! 2021 and useR! 2022 conferences

Software

  • baquantreg

    R package for Bayesian quantile regression.

    • GitHub: https://github.com/brsantos/baquantreg
  • ggcrqr

    R package for quantile regression visualization and diagnostics.

    • GitHub: https://github.com/brsantos/ggcrqr