Experience

  1. Consultant Statistician

    AbacusBio
    • Deliver statistical and analytical solutions in quantitative genetics, selection index development, and genomics for plant and animal breeding programmes.
    • Lead cross-functional delivery of genetic-evaluation pipelines, selection index tools, automated QC/ETL workflows, and dashboards for livestock, crop, and agri-tech partners.
    • Develop and maintain reproducible analytical workflows, structured data pipelines, and practical decision-support tools for researchers and breeding teams.
    • Maintain consistent reference datasets and analytical inputs across breeding workflows, supporting standardised interpretation of traits, identifiers, and evaluation outputs.
    • Implement automated quality-control checks for pedigree, phenotype, and genomic datasets to improve reliability, consistency, and readiness for downstream analysis.
    • Design traceable analytical pipelines linking raw breeding data, cleaned datasets, model inputs, and final genetic evaluation and selection index outputs.
    • Maintain production-grade R, C++, Bash, and SQL workflows in Docker-based environments for auditable delivery.
    • Translate complex quantitative modelling into practical, transparent, and decision-ready outputs for applied breeding programmes.

  2. Research Fellow

    The Roslin Institute, University of Edinburgh
    • Conducted research on quantitative genetics and genomic selection in plant breeding systems under the TRAIN@Ed fellowship.
    • Developed statistical models and computational workflows for analysis of large-scale breeding datasets.
    • Used high-performance computing environments to support large genomic data analyses.
    • Produced research outputs, software contributions, and technical reports within collaborative interdisciplinary projects.
    • Defined structured metadata for simulation and breeding datasets, including trait definitions, genomic variables, and environmental covariates, to ensure consistent interpretation and use across modelling and analytical workflows.

  3. Postdoctoral Researcher in Biostatistics

    National University of Ireland Galway
    • Worked on modelling approaches for early detection of secondary COVID-19 infection waves.
    • Applied statistical modelling to public-health surveillance data.
    • Delivered applied research outputs supporting epidemiological monitoring.

  4. Postdoctoral Researcher in Biostatistics

    National University of Ireland Galway
    • Contributed to interdisciplinary research projects within the Aspire Academy programme.
    • Applied statistical analysis to research questions linking data science and applied performance contexts.

  5. Postdoctoral Researcher in Biostatistics

    National University of Ireland Galway
    • Developed statistical modelling approaches for optimisation of athlete performance.
    • Collaborated with Orreco and the Insight Centre for Data Analytics on applied sport science analytics.
    • Produced applied modelling outputs to support decision making in elite sport environments.

  6. Postdoctoral Researcher in Statistics

    University of Sao Paulo
    • Led development of the lcc R package for estimation of longitudinal concordance correlation.
    • Developed reusable statistical software supporting consistent and efficient analysis workflows.
    • Combined methodological statistical research with production-quality software implementation.

  7. Assistant Professor

    University of Sao Paulo
    • Delivered teaching and supervision in statistics and quantitative methods.
    • Led and supervised research projects involving applied statistical modelling and data analysis.
    • Managed teams of students and researchers working on statistical and computational projects.

Education

  1. PhD in Statistics

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

  3. BSc in Agricultural Engineering

    University of Sao 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

SQL

Intermediate 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 Sklodowska-Curie Actions (MSCA) COFUND 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 Sao Paulo ∙ January 2014
Recognized for outstanding contributions to statistical modelling and data analysis.
Languages
100%
Portuguese
85%
English
30%
Spanish