My name is Xuguang Ai. I have a deep passion for NLP & CV and applying AI in healthcare. I earned my MS degree in Data Science from University of Kentucky, where I also had the opportunity to work as a Research Assistant under the mentorship of Prof. Ramakanth Kavuluru. Currently, I am a Data Scientist at the Biomedical Informatics & Data Science department at Yale University. I’m always open to connections and discussions so please don’t hesitate to get in touch!

News

10/2023: Our Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model will be featured in the poster section at AAO 2024, the American Academy of Ophthalmology’s annual meeting in Chicago.

10/2023: Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model is available on arXiv.

10/2023: Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology is available on arXiv.

08/2024 Yale at “Discharge Me!”: Evaluating Constrained Generation of Discharge Summaries with Unstructured and Structured Information. Discharge Me: BioNLP ACL’24 Shared Task on Streamlining Discharge Documentation.

05/2024 Our team secured 2nd place in the BioNLP ACL’24 Shared Task on Streamlining Discharge Documentation!

12/2023: End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. 2023 IEEE ICHI.

11/2023: Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-case is available on arXiv.

06/2023: Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers–Assisted Sublanguage Analysis. JMIR Medical Informatics.