Macarena Mellado Mallea is a Biochemist, PhD in Biotechnology, and Master in Biostatistics, with a strong background in the analysis and interpretation of biological data. Her professional work focuses on the application of statistical and bioinformatic tools to the study of biotechnological processes, with particular interest in experimental data modeling, assessment of biological variability, and integration of multivariate information in complex systems.
Throughout her career, she has participated in research projects aimed at developing and optimizing methodologies for genetic sequence analysis, molecular characterization of microorganisms, and evaluation of biological responses under different experimental conditions. Her training in biostatistics allows her to combine quantitative rigor with biological understanding, providing an integrative perspective for the interpretation of scientific results.
Currently, her work focuses on data processing and analysis in biotechnology and life sciences, using advanced statistical tools and specialized software such as R. Her research interests are oriented toward generating reproducible, high-quality evidence that contributes to the advancement of scientific and applied research in the biomolecular and biotechnological fields.
Macarena Mellado Mallea is a Biochemist, PhD in Biotechnology, and Master in Biostatistics, with a strong background in the analysis and interpretation of biological data. Her professional work focuses on the application of statistical and bioinformatic tools to the study of biotechnological processes, with particular interest in experimental data modeling, assessment of biological variability, and integration of multivariate information in complex systems.
Throughout her career, she has participated in research projects aimed at developing and optimizing methodologies for genetic sequence analysis, molecular characterization of microorganisms, and evaluation of biological responses under different experimental conditions. Her training in biostatistics allows her to combine quantitative rigor with biological understanding, providing an integrative perspective for the interpretation of scientific results.
Currently, her work focuses on data processing and analysis in biotechnology and life sciences, using advanced statistical tools and specialized software such as R. Her research interests are oriented toward generating reproducible, high-quality evidence that contributes to the advancement of scientific and applied research in the biomolecular and biotechnological fields.