Dec 2023: Organizing Committee Member, ChemoTimelines Shared Task at NAACL Clinical NLP 2024
Sep 2022: Recipient of 'Standigm Paper Award 2022' from the Korean Society for Bioinformatics for the paper 'Sequence Tagging for Biomedical Extractive Question Answering' (Bioinformatics 2022)
Jun 2022: Invited to Program Committee of the 10th BioASQ
Jun 2022: Team’s BioASQ 9 working note nominated 'Best of 2021 Labs paper' and accepted at CLEF 2022
Nov 2021: Led team to 1st place in NER and 3rd place in RE tracks at BioCreative Challenge
Sep 2020: Led team to win both Exact and Ideal tracks in BioASQ 8b (Exact track champion for two consecutive years)
Co-first author of BioBERT, ranked among most-read papers in Bioinformatics and selected as Best Paper in NLP section of IMIA Yearbook 2020
Google Scholar citations: 7,289+ (as of Feb 17, 2025)
Background
Research interests focus on Biomedical Natural Language Processing (BioNLP)
Exploring the nature of biomedical text and improving modeling for BioNLP tasks
Technical aims include extracting biomedical information (e.g., entity relations) from text and building knowledge graphs
Interested in scalable language models (e.g., distillation) to cover the entire MEDLINE corpus
Exploring graph ML (including GNNs) with BioNLP-derived knowledge graphs to infer novel biomedical insights