Tome Eftimov is a senior researcher at the Computer Systems Department at the Jožef Stefan Institute. He is an assistant professor at the Faculty of Computer and Information Sciences at the University of Ljubljana and visiting assistant professor at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje. He was a postdoctoral research fellow at Stanford University, USA, where he investigated biomedical relations outcomes by using AI methods. In addition, he was a research associate at the University of California, San Francisco, investigating AI methods for rheumatology concepts extraction from electronic health records. He obtained his PhD in Information and Communication Technologies (2018), focusing on information extraction and normalization methods of food and nutrition data. His research interests include natural language processing, statistical data analysis, metaheuristics, representation learning, and machine learning. He is an organizer of several workshops related to AI at high-ranked international conferences, including the Big Food, Nutrition and Environment Data Management and Analysis at the IEEE BigData conference 2019, 2020, 2021 and 2022, AI & Nutrition Track at the Applied Machine Learning Days 2020. 2021 and 2022, Semantic Food Q&A at the International Semantic Web Conference. He was a scientific coordinator of an EFSA-funded project on information extraction in food safety. He currently participates in several European projects related to AI and food and nutrition data.