Bio

He graduated in Agronomy from the Federal University of Pelotas (Brazil) Master’s in Genetics and Plant Breeding from the University of Sao Paulo (USP) and a Ph.D. in Genetics and Breeding from the Federal University of Viçosa (UFV). Then, he was an Assistant Professor in Plant Breeding at the University of Viçosa and the University of Sao Paulo, Brazil. Then, worked as a Senior Scientist in quantitative Genetics and Biometrics at the International Rice Research Institute (IRRI), Philippines. From 2022 to 2025, he was an Assistant Professor of Quantitative Genetics / Prediction-based breeding at LSU AgCenter. Currently, he is an Assistant Professor of Vegetable Molecular Breeding at NC State. He was also a visiting scientist at the University of Minnesota, Cornell University, and Queensland University. His work strives i) to make the current generation of breeders able to implement key tools (such as molecular markers, omics, imagery, and weather data) and modern statistical genetic approaches in the development of new products, ii) to develop new breeding schemes and statistical genetic models via stochastic simulations and empirical data, iii) understand the genetics and develop vegetables germplasm with higher resilience.

Publications

Google Scholar: https://scholar.google.com/citations?hl=en&user=mQCVtV0AAAAJ

Publications

• A Low-Cost RGB-Based Image Processing Method for High-Throughput Assessment of Rice Grain Chalkiness , Rice Science (2026)
• A new environmental-based tool to support forest breeders in selecting species adapted to current and near-term climate conditions , Tree Genetics & Genomes (2026)
• Assessing the Role of Marker Density and Minor Allele Frequency on Machine Learning–Driven Genomic Selection Accuracy in Grapevine , bioRxiv (Cold Spring Harbor Laboratory) (2026)
• Genome-wide association study in a diverse grapevine collection provides insights into the genetic basis of berry size and cluster architecture traits , PLoS ONE (2026)
• Integration of UAV-Based Phenotyping Increases Reliability and Supports Modeling of Genotypic Responses to Environmental Covariates in Eucalyptus , Research Square (2026)
• Optimizing progeny size and number of crosses under genomic selection: insights into additive and epistatic contributions to long-term genetic gain , Theoretical and Applied Genetics (2026)
• Using Stochastic Simulations to Shed Light on How to Deploy Speed Breeding and Genomic Selection in Self‐Pollinated Recurrent Breeding Programs , Plant Breeding (2026)
• 110 Years of Rice Breeding at LSU: Realized Genetic Gains and Future Optimization , (2025)
• Assessing the stability and plasticity of rice quality traits through reaction norms on environmental covariates , Agronomy Journal (2025)
• Association Mapping for Components of Reaction Norms to Environmental Covariates in Public Tropical Maize (Zea mays) Panel Under Water Stress , Plant Breeding (2025)

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