Offered :
– In-class at the Services Building, room 1724 – Université Laval
– Online
– Part of the conference is in French and part in English

Summery:

AI is everywhere nowadays, and it’s here to stay. However, successfully incorporating it into a project requires a clear understanding of which techniques to apply and how to use them effectively. The presentation examines how artificial intelligence is currently being applied in the food industry and highlights its impact on product development. It also showcases how ITESO researchers have developed an AI model specifically tailored for the food sector. The model learns from structured data, including nutritional properties, molecular composition, and taste profiles, to generate innovative food products. By incorporating machine learning and optimization techniques like supervised learning and genetic algorithms, the AI further expands its creative capabilities, offering a glimpse into how this technology is shaping the future of what we eat.

Conférenciers :
– Raquel Zúñiga Rojas PhD :

Dr. Raquel Zúñiga Rojas, PhD in Biotechnology and Food Industries, completed her graduate studies, master’s and doctoral degrees, at the prestigious National School of Agronomy and Food Industries (ENSAIA) in Nancy, France, between 1994 and 1999. She also holds a specialization in Business Process Improvement from ITESO. Her undergraduate studies were completed at Tecnológico de Monterrey, Monterrey campus, where she earned a degree in Food Industries Engineering. Her professional career has spanned both the private sector and academic research, including work at CIATEJ, a CONACYT research center, and at ITESO. At ITESO, she has served as Coordinator of the Food Engineering Program, Coordinator of Professional Application Projects, and Coordinator of a Basic Academic Unit. She also served for two years on the Research Committee of the General Academic Directorate. Her research has focused on functional foods aimed at preventing chronic-degenerative and gastrointestinal diseases, with an emphasis on ensuring accessibility for economically disadvantaged populations and promoting proper nutritional education.

– Daniel Hernández Mota, P.E.
Engineer Daniel Hernández Mota is a data scientist specializing in artificial intelligence and machine learning, with a strong background in both the financial sector and academia. His work focuses on solving complex problems through data-driven decision-making, always guided by a strategic vision that integrates technology, business, and ethics. Known for his analytical mindset, his ability to translate models into actionable solutions, and his constant pursuit of meaning, Daniel has led and contributed to projects ranging from modeling phenomena using supervised machine learning to applying advanced algorithms in sensitive contexts, such as the development of alternative food products, social justice research, early fraud detection, and the creation of initiatives focused on sustainability, health, and economy. Currently, he works as a senior data scientist at BBVA, serves as a mentor for several editions of Saturdays.AI, and is a researcher at ITESO. He combines his professional work with outreach and teaching activities, aiming to inspire new generations to use artificial intelligence not only for innovation but also as a catalyst for positive change in the world we live in.