PhD-level Data Scientist and Bioinformatician with a strong foundation in Animal Science, specializing in applying genomics, transcriptomics, and biostatistics to optimize animal breeding and production. I excel in transforming complex omics data into practical solutions using advanced analytical techniques and programming skills (R, Bash). My expertise spans bioinformatics pipelines, predictive modeling, and genomic selection strategies, and I thrive on tackling challenging data analysis problems. With a strong foundation in molecular biology and extensive research experience (currently a FAPESP Research Fellow at ESALQ/USP, previously Temporary Professor at FZEA/USP), I bridge the gap between laboratory science and data-driven decision-making. My background includes managing research projects, collaborating effectively in teams, training and mentoring personnel, and communicating scientific findings through comprehensive reports and presentations. I am eager to leverage this diverse skill set in a challenging role focused on complex data analysis, data-driven strategy, and project leadership, particularly where I can contribute to team development and/or innovative solutions.