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.