Experience

  1. Statistician

    AbacusBio
    • Lead cross-functional teams delivering genetic-evaluation pipelines, QC/ETL workflows, and interactive dashboards for livestock, crop, and agri-tech partners.
    • Design economic and sustainability selection indexes that translate breeding-policy goals into actionable metrics.
    • Build reproducible R/C++/Bash codebases (Docker, CI) that keep analytics auditable and production-ready.
    • Coach scientists and engineers on best practices for statistical modelling, automation, and decision-support communication.

  2. Research fellow in quantitative genetics

    The Roslin Institute, University of Edinburgh
    • Held a Marie Skłodowska-Curie COFUND fellowship focused on quantitative genetics and sustainability-focused breeding.
    • Developed mixed-model, Bayesian, and simulation frameworks for plant-breeding pipelines and collaborated with international partners.
    • Published and presented across high-impact venues while mentoring PhD students and early-career scientists.

  3. Postdoctoral researcher in biostatistics

    Insight Centre for Data Analytics, NUI Galway
    • Built Bayesian and machine-learning models for athlete readiness, fatigue, and health monitoring.
    • Led predictive-modelling pipelines for COVID-19 decision making and other longitudinal public-health datasets.
    • Partnered with clinicians, sports scientists, and data engineers to productize analytics outputs.

  4. Lecturer in statistics

    University of São Paulo
    • Taught undergraduate and graduate courses spanning experimental design, linear models, and statistical programming.
    • Supervised theses and independent research projects that linked statistics with agriculture and genetics.
    • Modernized course materials, lab content, and assessment to emphasize reproducible workflows.

  5. Biostatistician

    Orreco
    • Developed statistical models and dashboards for elite-athlete monitoring and recovery workflows.
    • Delivered bespoke analytics consulting for professional teams, bridging biomarker, GPS, and wellness data.
    • Embedded with sports-science staff to translate insights into day-to-day decision tools.

Education

  1. PhD in Statistics

    University of São Paulo
    Dissertation on advanced statistical modelling for agricultural and genomic data, combining longitudinal/multilevel methods and a research internship at the National University of Ireland Galway.
    Read Dissertation

  2. MSc in Statistics

    University of São Paulo
    Thesis on statistical methods for concordance analysis with a GPA of 3.9/4.0.

  3. BSc in Agricultural Engineering

    University of São Paulo
    Specialized in agricultural systems and statistical applications for crop and livestock systems; graduated with honors.
Skills & Hobbies

I rely on a mix of programming languages, statistical methods, and creative outlets. Programming: R (packages, pipelines, Shiny), C++ (performance-critical code), Bash/Python (automation), Docker/CI/git for reproducible stacks. Statistical tools: mixed models, Bayesian workflows, spatial/longitudinal analytics, concordance/causal analysis. Creative balance: photography, hiking, and travel fuel the observational skills I bring to analytic work.

Programming Languages
R

Advanced proficiency

C++

Intermediate proficiency

MATLAB

Intermediate proficiency

Bash/Shell

Advanced proficiency

Python

Beginner proficiency

Statistical Software
Shiny

Advanced proficiency

Octave

Beginner proficiency

Maple

Intermediate proficiency

SageMath

Intermediate proficiency

Quarto/Markdown

Advanced proficiency

BLUPF90

Advanced proficiency

Fimpute

Advanced proficiency

Development Tools
Docker

Advanced proficiency

Visual Studio

Intermediate proficiency

Jupyter

Intermediate proficiency

GitHub

Advanced proficiency

Platforms and Frameworks
LaTex

Advanced proficiency

O Office 365

Advanced proficiency

Linux

Advanced proficiency

Hobbies
Photography

Semi-professional proficiency

Hiking

Enthusiast

Travel

Avid traveler

Awards
Marie Skłodowska-Curie Actions (MSCA) COFOUND Fellowship (Train@Ed)
The Roslin Institute, University of Edinburgh ∙ April 2020
Awarded for research excellence in quantitative genetics and genomics.
Research Excellence Award
University of São Paulo ∙ January 2014
Recognized for outstanding contributions to statistical modelling and data analysis.
Languages
100%
Portuguese
85%
English
30%
Spanish