Mauricio Penuela

Conducting advanced research in bioinformatics, focusing on machine learning applications in genomic data analysis. Leading projects aimed at optimizing sustainable agricultural crops through in-silico methods.

Engaged in research on optimization of sustainable agricultural crops, utilizing advanced genomic techniques and statistical analysis to enhance crop performance.

Taught courses in Biology and Ecology, focusing on laboratory techniques and theoretical concepts. Mentored undergraduate students and contributed to curriculum development.

Led research projects on heritability and genetic selection in chili varieties, employing bioinformatics tools and statistical analysis to derive insights for agricultural applications.

Achieved a Doctor of Science in Biology, conducting extensive research in areas such as machine learning and bioinformatics.

Earned a Master of Science in Biology, focusing on advanced biological research methodologies and data analysis.

Completed a Bachelor of Science in Biology, focusing on various biological sciences and gaining practical experience in laboratory settings.

Specialized in genomic selection, quantitative genetics, and population genetics through a diploma program.