Mercedes Bertotto, PhD

Mercedes Bertotto, PhD, is a Lecturer and Doctor of Engineering with a strong background in data science, particularly in machine learning, feature selection, pre-treatment and exploratory data analysis. Specialising in chemometrics at Wageningen University & Research, she conducted data analyses to optimise predictive models and gained experience in designing experiments, preparing samples, and using NIR/HSI equipment. 

With 12 years of experience at the National Service for Agrifood Health and Quality (SENASA) and as an NIR/chemometrics consultant in Argentina, Mercedes brings extensive practical expertise. She is also dedicated to education, having taught at the University of Buenos Aires. 

Mercedes actively shares her research at conferences, contributes to peer-reviewed journals and continually pursues professional development to stay at the forefront of advancements in chemometrics and spectroscopy. Her goal is to drive innovation and contribute to data-driven solutions in food science.