Mercedes Bertotto

Mercedes Bertotto, PhD, is a Lecturer at Wittenborg University of Applied Sciences. She holds a Doctor of Engineering degree and specializes in data science, chemometrics, and food science applications. Her work focuses on predictive modeling optimization, experimental design, and spectroscopic techniques like NIR/HSI. She has 12 years of professional experience at Argentina’s National Service for Agrifood Health and Quality (SENASA) and has consulted in the chemical, petroleum, and food industries.

Education background includes teaching roles at the University of Buenos Aires. Her expertise spans chemometrics, machine learning, and data analytics, with active contributions to peer-reviewed journals and international conferences. Professional development remains a priority to advance her work in spectroscopy and data-driven solutions for food science.

• Teaching Domains: Chemometrics, Machine Learning, Deep Learning, Artificial Intelligence, Information Management
• Research Domains: Food Adulteration Detection, Vibrational Spectroscopy Applications, Food Safety

Her research emphasizes practical industry applications across chemical, petroleum, and food sectors, leveraging interdisciplinary collaborations to drive innovation in analytical methodologies.