Conduct applied statistical analysis for sugarcane R&D, supporting breeding, crop management, and trait evaluation programs. Design and interpret large-scale multi-location and multi-year field trials with nested factors and unbalanced designs. Develop advanced statistical models including linear and generalized linear mixed models. Build and maintain reproducible analytical pipelines for experimental data processing, model fitting, result synthesis, visualization, and reporting.

Streamlined experimental and geospatial analysis workflows, reducing processing time by 30% through automation in Python and SQL. Designed and maintained 5+ scalable ETL pipelines for complex geospatial and tabular datasets. Built and operated scalable REST APIs enabling real-time access to geospatial data. Optimized PostgreSQL/PostGIS queries and integrated large-scale datasets from major public databases (SICAR, MMA, FUNAI, PRODES, IBGE). Developed interactive dashboards adopted by multidisciplinary teams, contributing to a 40% relative increase in usage.

Contributed to a public health project focused on surveillance and genomic characterization of high-impact pathogens. Developed data science and AI solutions for genomic data analysis and outbreak prediction. Integrated analytical pipelines with predictive models and machine learning methods to support near real-time epidemiological surveillance.

Organized and interpreted commercial and operational data to support strategic and financial decision-making. Designed and maintained databases and a lightweight management system for inventory, sales, and cash flow. Developed dynamic dashboards in Excel/VBA and automated administrative workflows using Python and Bash on Linux.

Developed data-driven solutions to improve management strategies and operational productivity. Built automation tools to streamline workflows and increase efficiency. Collaborated with cross-functional teams to implement innovative solutions supporting strategic decision-making.

CNPq Fellow. Designed and analyzed agronomic and biological experiments using linear mixed models. Estimated genetic parameters and genotypic values in unbalanced designs using multiple imputation and maximum likelihood methods. Developed covariance structures for breeding programs and contributed to research and teaching activities.

CAPES Fellow. Designed and executed field and greenhouse experiments on nitrogen fertilization and planting dates. Supported wheat breeding programs including phenotyping, pollination, data collection, and harvest. Produced analyses and reports to optimize agronomic practices and improve productivity.

CNPq Fellow. Researched sustainable soil management and organic amendments in Brazil's Semi-Arid region. Evaluated organic compost from small ruminant residues in maize cultivation. Conducted biometric, biomass, and chlorophyll assessments and performed soil and plant sampling and laboratory analyses.

Research focused on parametric models of covariance matrices for repeated measures and mixed linear models applied to agricultural experimentation.

CAPES Fellow. Research on nitrogen fertilization optimization and wheat breeding programs.