Jin-Dong Kim, PhD, Database Center for Life Science - Research Organization of Information and Systems, Japan
Dr. Kim serves as an Project Associate Professor at the Database Center for Life Science (DBCLS) within the Research Organization of Information and Systems (ROIS). His work focuses on natural language processing (NLP) and text mining, specifically tailored to the life sciences. Previously, he held the position of project lecturer at the University of Tokyo until 2010. Dr. Kim has authored over 100 peer-reviewed scientific papers, accumulating more than 7,000 citations. His efforts are directed towards improving the accessibility and interoperability of text mining resources in the life sciences through long-term initiatives such as PubAnnotation and PubDictionaries. Additionally, he has been instrumental in organizing key events including the Biomedical Linked Annotation Hackathon (BLAH) series and the BioNLP Open Shared Task (BioNLP-OST) series.
Lars Juhl Jensen, PhD, University of Copenhagen, Denmark
Dr. Jensen started his research career in Søren Brunak’s group at the Technical University of Denmark, from where he in 2002 received the Ph.D. degree in bioinformatics, having worked on methods for protein function prediction, visualization of microbial genomes, pattern recognition in promoter regions, and microarray analysis. From 2003 to 2008, he was at the European Molecular Biology Laboratory working on text mining, integration of omics data, and network analysis. Since 2009, he has continued this line of research as a professor at the Novo Nordisk Foundation Center for Protein Research at the University of Copenhagen and as a founder and scientific advisor of Intomics, now ZS Discovery. He has authored and co-authored more than 200 scientific publications that have received over 100,000 citations in total. He was awarded the Lundbeck Foundation Talent Prize in 2003, “Break-through of the Year” in 2006 by the magazine Ingeniøren, and the Lundbeck Foundation Prize for Young Scientists in 2010.
Zhiyong Lu, PhD, National Library of Medicine - National Institutes of Health, United States of America
Dr. Zhiyong Lu is a tenured Senior Investigator at the NIH/NLM IPR, leading research in biomedical text and image processing, information retrieval, and AI/machine learning. In his role as Deputy Director for Literature Search at NCBI, Dr. Lu oversees the overall R&D efforts to improve literature search and information access in resources like PubMed and LitCovid, which are used by millions worldwide each day. Additionally, Dr. Lu is Adjunct Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC). Dr. Lu serves as an Associate Editor of Bioinformatics, Organizer of the BioCreative NLP challenge, and Chair of the ISCB Text Mining COSI. With over 350 peer-reviewed publications, Dr. Lu is a highly cited author, and a Fellow of the American College of Medical Informatics (ACMI) and the International Academy of Health Sciences Informatics (IAHSI).
Fabio Rinaldi, PhD, Dalle Molle Institute for Artificial Intelligence - University of Italian Switzerland, Switzerland
Dr. Rinaldi is responsible for NLP research at IDSIA (Dalle Molle Institute for Artificial Intelligence), in Southern Switzerland, and a group leader at the Swiss Institute of Bioinformatics. Until 2019 he was a lecturer and senior researcher at the University of Zurich, as well as PI in a number of research projects. Dr. Rinaldi co-authored more than 100 scientific publications (including more than 40 journal papers), dealing with topics such as Ontologies, Entity Extraction, Answer Extraction, Text Classification, Document and Knowledge Management, Language Resources and Terminology.
