Dr. Tome Eftimov is a researcher at the Computer Systems Department at the JSI. He was a postdoctoral research fellow at the Stanford University, USA, where he investigated relations between phenotype information and health 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) as a part of the ERAChair Iso-food, focusing on statistical data analysis and natural language processing methods in the food domain. His research interests include statistical data analysis, optimization, natural language processing, representation learning, and machine learning. His work is published in international journals and conference proceedings. He is an organizer of several workshops related to AI at high-ranked international conferences. He is a coordinator of a national project and actively participate in European projects.
Research Keywords & Expertise
Benchmarking
machine learning
Natural Language Proce...
Optimization
representation learnin...
Fingerprints
Optimization
Benchmarking
machine learning
Natural Language Processing
representation learning
Short Biography
Dr. Tome Eftimov is a researcher at the Computer Systems Department at the JSI. He was a postdoctoral research fellow at the Stanford University, USA, where he investigated relations between phenotype information and health 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) as a part of the ERAChair Iso-food, focusing on statistical data analysis and natural language processing methods in the food domain. His research interests include statistical data analysis, optimization, natural language processing, representation learning, and machine learning. His work is published in international journals and conference proceedings. He is an organizer of several workshops related to AI at high-ranked international conferences. He is a coordinator of a national project and actively participate in European projects.
