Portrait image of Tome Eftimov

Tome main areas of research include statistics, heuristic optimization, natural language processing, and machine learning. Specific topics of research include information extraction of food- and nutrition-related concepts from textual data, knowledge management for food- and nutrition-related data, and representational learning for clinical concepts. He was awarded his PhD degree from the Jozef Stefan International Postgraduate School, Ljubljana, Slovenia, in 2018. 

AMLD EPFL 2020 / Speakers

Edward Snowden

Whistleblower & Cybersecurity Expert

Max Tegmark

Professor, MIT

Danny Lange

VP of AI and Machine Learning, Unity Technologies

David Autor

Ford Professor of Economics, MIT

Michal Kosinski

Associate Professor, Stanford University

Marinka Zitnik

Harvard University

AMLD / Global partners