Researcher in Statistics

Executive summary

I am a biostatistician with a solid publication record in developing and applying biostatistical theory. I have more than ten years of experience in statistical modelling and R programming.

I’ve been developing research related to agriculture and sports as well as dashboard apps to create interactive data visualization.

Thiago de Paula Oliveira

Thiago de Paula Oliveira

Researcher

The Roslin Institute

Biography

I hold a PhD in Statistics from the the University of São Paulo, Brazil, and have at least eight years of experience in experimental statistics and statistical modelling. As a PhD student, in 2016, I was a visiting Scholar at the National University of Ireland Galway, Ireland, where I worked with statistical modelling in agricultural data. Moreover, I worked as a lecturer in the Department of Exact Sciences at ESALQ/University of São Paulo, Piracicaba, São Paulo, Brazil, from 2017 to 2019.

I also worked as a Researcher Biostatistician from 2019-2020 at Insight Centre for Data Analytics in partnership with Orreco, School of Mathematics, Statistics, and Applied Mathematics, and NUI Galway in the development of statistical methods applied to athlete performance, and predictive models for COVID-19. I developed statistical methods in longitudinal concordance correlation, multilevel model (hierarchical model), generalized linear mixed-effects model, state-space models, experimental design, longitudinal data.

As an enthusiast of using dashboard apps to create an interactive data visualization, I believe apps are easier to make visual representations of large scale data sets. It also allows the user to explore the complex reality of the database or even handle multiple data locations in a single visualization.

I was recently awarded a Marie Skłodowska-Curie Actions (MSCA) COFOUND Fellowship (Train@Ed) to work at The Roslin Institute , University of Edinburgh, where I currently work on the development of statistical models applied to quantitative genetics genomics of plant breeding in partnership with Limagrain.

Interests
  • Statistics and Biostatistics
  • Concordance Analysis
  • Multilevel and Forecast Models
  • Longitudinal Data
  • Agriculture
  • Sports (Athlete Performance)
  • Dashboard App
Education
  • PhD in Statistics, 2018

    University of São Paulo

  • Master in Statistics, 2014

    University of São Paulo

  • BSc in Agricultural Engineer, 2012

    University of São Paulo

Skills

statistics
Statistics

10 years experience

rlogo
R and Shiny

Advanced

c++
C++

Beginner

shell
Bash/Shell

Beginner

maple
Maple

Intermediate

sage
SageMath

Intermediate

rmarkdown
(R)Markdown

Advanced

tex
LaTex

Advanced

office
Office 365

Advanced

github
GitHub

Advanced

linux
Linux

Advanced

inkscape
Inkscape

Advanced

gimp
GIMP

Intermediate

camera
Photography

Semi-Professional

Experience

 
 
 
 
 
Researcher Fellow (TRAIN@Ed)
Oct 2020 – Present Edinburgh, Scotland

Responsibilities include:

  • Development of statistical models in quantitative genetics and genomics of plant breeding
 
 
 
 
 
Posdoctoral Researcher
Aug 2020 – Sep 2020 Galway, Ireland

Responsibilities include:

  • Development of statistical models applied to COVID-19 outbreak
  • Development of shiny apps
 
 
 
 
 
Posdoctoral Researcher
Mar 2020 – Jun 2020 Galway, Ireland

Responsibilities include:

  • Development of biostatistical models applied to sports
  • Development of shiny apps
 
 
 
 
 
Posdoctoral Researcher
Apr 2019 – Dec 2019 Galway, Ireland

Responsibilities include:

  • Development of biostatistical models applied to sports
  • Development of shiny apps
 
 
 
 
 
Posdoctoral Researcher
May 2018 – Apr 2019 Piracicaba, Sao Paulo

Responsibilities include:

  • Development of statistical models applied to agriculture
  • Development of R packages
 
 
 
 
 
Assistant Professor
May 2018 – Apr 2019 Piracicaba, Sao Paulo

Lecturer in the Department of Exact Sciences at ‘Luiz de Queiroz’ College of Agriculture (ESALQ)
Responsibilities include:

  • Calculus I and II
  • Statistics
  • Experimental Statistics

Recent Posts

Projects

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Genomic strategies for optimal crossbreeding in African dairy cattle
Develop genomic strategies to optimise crossbreeding in livestock breeding programmes with focus on East African crossbred dairy cattle
AlphaPart - Partition of Breeding Values by Paths of Information
A software that implements a method for partitioning genetic trends to quantify the sources of genetic gain in breeding programmes.
Statistical models applied to quantitative genetics and genomics of plant breeding
Quantitative genetics is a field of biology studying the effect of genetic and environmental factors on quantitative traits.
Development of predictive models and analytics techniques to forecast historical data-driven outcomes
Predictive modelling gives a plausible idea of punctual and interval estimates when corrected specified and under a well-structured data set.
The use of biostatistics for optimizing athletes performance
Uniquely blending Data Science and Sports Science to generate customized strategies by athlete
The use of biostatistics for optimizing athletes performance

Recent & Upcoming Talks

Recent Publications

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