Coordinator, Yale Biomedical Informatics & Data Science Rising Star Seminar, 2024

Admission committee member, Yale Medical Software and Medical Artificial Intelligence Program, 2024

Committee member, The Special Focus Issue on ChatGPT and Large Language Models (LLMs) in Biomedicine and Health, JAMIA, 2023-2024

Publication chair, The 6th International Workshop on Health Natural Language Processing, 2023 

Lead organizer, Track 5 of BioCreative VII challenge and workshop, 2022

Lead organizer, a tutorial at the International Society for Computational Biology and the African Society for Bioinformatics and Computational Biology (ISCB-Africa ASBCB Conference on Bioinformatics), 2021

Lead organizer, a tutorial at the Intelligent Systems for Molecular Biology (ISMB), 2020

• A practical introduction to biomedical text mining in the era of deep learning. See the schedule and materials.

Co-organizer, Text mining and NLP special interest group at NIH, 2019-

Co-organizer, NIH.AI Workshop on Natural Language Processing, NIH, 2019-

Session chair, AMIA Informatics Summit. 2019

Nature Humanities and Social Sciences Communications Editorial Board. 2023-

JMIR Medical Informatics Editorial Board. 2022-

Associate Editor of Frontiers in Digital Health. 2022-

Early Career Researcher Editor of Applied Clinical Informatics. 2020-2022

The WEB Conference. 2024-

IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE). 2024-

ACL Clinical Natural Language Processing Workshop. 2023- 

Intelligent Systems for Molecular Biology (ISMB). 2023-

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2022-

The International Conference on Information Management and Big Data. 2021- 

IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2021-

ICCV Computer Vision for Automated Medical Diagnosis workshop. 2021-

ICML Interpretable Machine Learning in Healthcare workshop. 2021-

ACL BioNLP workshop. 2019-

IEEE International Conference on Healthcare Informatics (ICHI). 2019-

Journal of Machine Learning Research. 2024-

ACM Transactions on Intelligent Systems and Technology. 2023- 

BMC Supplements. 2023-

Journal of Digital Imaging. 2023-

Nature Communications. 2022-

BMC Bioinformatics. 2022-

British Journal of Ophthalmology. 2022-

Journal of the American Medical Informatics Association. 2022-

IET Image Processing. 2022-

Healthcare Analytics. 2022-

International Journal of Information Technology & Decision Making. 2022-

Frontiers in Medicine. 2021-

F1000Research. 2021-

BMC Medical Informatics and Decision Making. 2021-

Oxford Database. 2021-

ACI Open. 2021-

Diagnostics. 2021- 

PeerJ. 2021-

International Journal of Medical Informatics. 2021-

Journal of Bioinformatics and Computational Biology. 2021-

Nucleic Acids Research. 2020-

ACM Transactions on Computing for Healthcare. 2020-

JMIR Public Health and Surveillance. 2020-

EMNLP NLP-COVID workshop. 2020-

Ophthalmology. 2020-

Processes . 2020-

Applied Clinical Informatics. 2020-

SLAS Technology. 2020-

Bioinformatics. 2019-

Journal of Biomedical Informatics. 2019-

Health Informatics Journal. 2019-

JMIR Medical Informatics. 2019-

Medicina. 2019-

IEEE ACCESS. 2019-

Artificial Intelligence in Medicine. 2019-

Journal of Participatory Medicine. 2019-

IEEE International Conference on Healthcare Informatics (ICHI). 2019-

Intelligent Systems for Molecular Biology (ISMB). 2019-

ACL BioNLP workshop. 2019-

IEEE/ACM Transactions on Computational Biology and Bioinformatics 2018-

PLOS ONE. 2018-

AMIA Annual Symposium. 2018-

AMIA Informatics Summit. 2018-

Knowledge and Information Systems. 2017-

Yale NLP Interest Group, 2024 

• Large Language Models in biomedical literature mining: systematic evaluations and case studies

HINF5016 Natural Language Processing in Health, Weill Cornell Medicine, 2022

• Tracking and annotating COVID-19 literature: how natural language processing facilitates data curation

The United States Environmental Protection Agency, 2021

• ‘Under-the-hood’ methods in bionlp web services: machine learning and deep learning methods for text classification 

Biomedical Linked Annotation Hackathon 7, 2021

• LitCovid: an open database of COVID-19 literature

• See the video

National COVID Cohort Collaborative (N3C), 2020

• Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)

• See slides

Data Science Research Workshop for Early Career Lung Investigators,  National Heart, Lung, and Blood Institute (NHLBI), 2020

• Machine Learning and Deep Learning

H3ABioNet Pan African Bioinformatics Network Seminars, 2020

• Introduction to Biomedical Text Mining with its Application to Biocuration 

• See the abstract and the video.

A practical introduction to biomedical text mining in the era of deep learning, a tutorial at ISMB, 2020

• Biomedical language models 

• Demonstration: deep learning tools for biomedical text mining tasks 

NIH.AI Workshop on Natural Language Processing, NIH, 2019

• Text Mining and Deep Learning for Biology and Healthcare: An Introduction

The National Institute of Cancer Center Data Science workshop, NIH, 2019

• Overview of natural language processing in biomedical and cancer research

An invited talk at Nanjing University of Posts and Telecommunications, 2017

• Duplication in biological databases: characteristics, impacts and solutions

An invited talk at RMIT University, 2016

• Evaluation of sequence clustering methods

Participating faculty members, Computational Biology & Biomedical Informatics PhD Program, Yale University, 2024

Judge,  African Society for Bioinformatics and Computational Biology Codeathons, 2022

Judge, Fellows Award for Research Excellence 2023, NIH, 2022

Judge, 17th Annual Graduate Student Research Symposium,  NIH, 2021