Green Academy #5 – Food, from land to data

Register now to the event with the link below.

Register now to the event with the link below.

The School of Life Sciences and SV Sustainability are thrilled to receive Prof. Marcel Salathé, Prof. Sara Bonetti, and Prof. Pedro Marques-Vidal for the 5th edition of the Green Academy! They will walk us through the vast realm of nutrition, each with a different research perspective and practice. This time, we’re diving deep into the world of food. We will be exploring its journey from the land it’s grown, its impact on our health, the data it drives, and ultimately, how our good health and healthy environment are intimately linked by our diet.

Monday, November 18th, 2024
15:00 to 17:00 in conference room SV1717.
🍹 Apero included

 

 

Agenda

  • 15:00 | Welcome

Food & Land

  • 15:15 | Sara Bonetti, Prof. | Laboratory of Catchment Hydrology and Geomorphology, EPFLSara Bonetti is a Tenure Track Assistant Professor at EPFL, leading the Laboratory of Catchment Hydrology and Geomorphology. Her research focuses on the impacts of crop production on water and soil sustainability, particularly in the context of climate change and food security. With expertise in modeling ecohydrological processes, she explores innovative approaches such as climate-smart agriculture and digitalization opportunities for sustainable farming practices.

Food & Health

  • 15:40 | Pedro Marques-Vidal, MD, Prof. | Department of Internal Medicine, CHUV Distinguished researcher in epidemiology and clinical research. His work focuses on the interplay between nutrition, lifestyle factors, and cardiovascular health, contributing valuable insights into public health strategies. Prof. Marques-Vidal’s research contributes to our understanding of sustainable and healthy eating habits, aligning with both life sciences and sustainability goal. 

Food & Data

  • 16:00 | Marcel Salathé, Prof. | Salathé Group, EPFL – Renowned epidemiologist and digital health expert. Prof. Salathé has made significant contributions to the field of digital epidemiology, using big data and machine learning to track and predict disease outbreaks. His work bridges the gap between life sciences and computer science, with a focus on developing innovative solutions for public health challenges.

 

  • 16:30 | Q&A moderated by Andy Oates | Dean of the School of Life Sciences

 

  • 17:00 | Apéro in the SV Hall 🍹

 

For questions, you can reach us at [email protected]

How to find the conference room