Organizers

EARL 2026 is organized by a team with expertise spanning recommender systems, large language models, information retrieval, and academic event organization.

• Dr. Guillaume Salha-Galvan (gsalhagalvan@sjtu.edu.cn) is an Associate Professor at Shanghai Jiao Tong University. He has a decade of industry experience, including as Director of Research at Kibo Ryoku and Research Coordinator for Music Recommendation at Deezer. His research interests include recommender systems, LLMs, and their real-world applications. He is the main point of contact for EARL 2026.
• Dr. Irene Li (irene.li@weblab.t.u-tokyo.ac.jp) is a Project Lecturer at the University of Tokyo. Her research centers on NLP and AI, with a focus on medical and educational applications. She organized multiple academic seminars and was the principal organizer of the first two EARL editions.
• Dr. Ruihai Dong (ruihai.dong@ucd.ie) is an Associate Professor at University College Dublin. His research focuses on machine/deep learning and applications to recommender systems and finance. He founded the Dublin Deep Learning meetup and co-organized both previous EARL editions.
• Dr. Aonghus Lawlor (aonghus.lawlor@ucd.ie) is an Assistant Professor at University College Dublin and a Funded Investigator at the Insight Centre for Data Analytics. His research interests include machine/deep learning and recommender systems. He co-hosted the second EARL edition on-site at RecSys 2025.
• Dr. Dairui Liu (dairui.liu@ucd.ie) is a Postdoctoral Research Fellow at University College Dublin. His research focuses on NLP and recommender systems, with a specialization in explainable news recommendation. He co-organized both previous EARL editions and is responsible for the workshop website and online presence.
• Dr. Sairamvinay Vijayaraghavan (sairam16898@gmail.com) is a Machine Learning Engineer at TikTok and holds a Ph.D. from the University of California, Davis. His research centers on LLMs and recommender systems, including the reliability of recommendation explanations.
• Dr. Lei Li (lilei@szu.edu.cn) is an Assistant Professor at Shenzhen University, specializing in recommender systems and NLP. His research focuses on explainable and efficient LLM-based recommendation. He co-organized both previous EARL editions.