Track / Overview

The United Nations states “End hunger, achieve food security and improved nutrition and promote sustainable agriculture" as one of its sustainable development goals by the target date of 2030. To achieve these goals, global food and agriculture systems will require profound changes, in which big data and AI technologies can play significant roles.

In the past decade, a huge amount of work has been done in biomedical predictive modelling. While there are extensive resources available for the biomedical domain, the food and nutrition domains are relatively low AI-resourced. In the last five years, several studies have been focused on relevant food information extraction from textual data, food image recognition, food portion estimation, food ontology alignment, etc. Despite the recent studies focused on food and nutrition data, there is a requirement for additional effort in order to provide resources that can extract useful information from heterogeneous food and nutrition data sources. Developing such AI resources will allow further linking food and nutrition data with biomedical and environmental data, which can help explore heterogeneous hidden relations.

The focus on this track is to provide an overview of AI methods that have already existed for food and nutrition data, together with methods for linking biomedical research data with food and nutrition data as well as on methods that address key challenges arising in application areas relevant to personalized nutrition and medicine, and food safety and traceability.

This full-day track, will consist of two parts. The first part will focus more on AI methods and resources used for analyzing food and nutrition data with regard to ​personalized nutrition and medicine​, while the second part will be focused on AI analysis for ​food safety and traceability​.

Track / Speakers

Marcel Salathé

Professor, EPFL

Fabio Mainardi

Senior Data Scientist, Nestle

Tome Eftimov

Researcher, Jozef Stefan Institute

Sharada Mohanty

CEO & Founder, AIcrowd

Philippe Glénat

VP Digital Lab, Firmenich

Timon Zimmermann

CTO, Visium SA

Mireille Moser

Statistician / Data Scientist, Nestlé

Ugo Gentile

Data Scientist, Nestlé Research

Christoph Trattner

Associate Professor, University of Bergen, Norway

Enrico Zio

Full Professor, Politecnico di Milano

Yamine Bouzembrak

Researcher in Artifical Intelligence, WFSR

Christian Nils Schwab

Executive Director, Integrative Food & Nutrition Centre, EPFL

Carrol Plummer

Co-founder and CEO, Vivent

Patrizia Catellani

Full Professor, Department of Psychology, Catholic University of the Sacred Heart Milan

Matthias Graeber

Head of Data Science, Buhler Group

Lorijn van Rooijen

Researcher, Wageningen Food & Biobased Research

Kristina Gligoric

Phd Student, EPFL

Lydia Afman

Associate Professor, Wageningen University and research

Nourchene Ben Romdhane

Data Scientist, Nestlé

Talia Salzmann

Team Lead, Digital Epidemiology Lab, EPFL

Thomas Chen

Student, Academy for Mathematics, Science, and Engineering & Head of Outreach, Climate Data Hub

Gjorgjina Cenikj

Student researcher, Jožef Stefan Institute

Gorjan Popovski

Young Researcher, Jožef Stefan Institute

Sola Shirai

Doctoral Student, Rensselaer Polytechnic Institute

Track / Co-organizers

Fabio Mainardi

Senior Data Scientist, Nestle

Barbara Koroušić Seljak

Associate Professor, Jozef Stefan Institute

Tome Eftimov

Researcher, Jozef Stefan Institute

Mireille Moser

Statistician / Data Scientist, Nestlé

Ugo Gentile

Data Scientist, Nestlé Research

AMLD EPFL 2021 / Tracks & talks

AI & Physics

Alexey Melnikov, Giuseppe Carleo, Balaji Lakshminarayanan, Marylou Gabrié, Agnes Valenti, Bruno Loureiro, Gregor Kasieczka, Anna Dawid, Paolo Molignini, Roman Worschech, Diego Tapias, Aishik Ghosh, Frank Schäfer, Andrew Saxe

09:00-18:15 September 30Online

AI & Resilience in dynamic environments

Grégoire Caro, Ilya Feige, Lisa R. Goldberg, Jeffrey R. Bohn, Olga Fink

09:00-17:00 October 25Online

AI & Cities

09:00-17:00 December 02Forum Rolex, EPFL and online

AMLD / Global partners