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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports

Published in MCHM ’24: Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, 2024

BURExtract-Llama extracts structured clinical information from breast ultrasound reports using a Llama 3–8B model fine-tuned on GPT-4-generated annotations. It achieves an average F1 score of 84.6% on clinician-annotated reports, comparable to GPT-4, while supporting lower-cost, in-house deployment.

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Bridging the EHR Divide: Asymmetric Contrastive Learning for Cross-National Medical Representation Transfer

Published in NeurIPS 2026 GenAI4Health Workshop (Accepted, Poster), 2026

This paper introduces Asymmetric SupCon, a task-specific contrastive pre-training objective for cross-national EHR representation transfer. Pre-trained on longitudinal records from 3.98 million Taiwanese NHIRD patients, the models improve over random initialization on MIMIC-IV and demonstrate strong few-shot disease-prediction performance on EHRSHOT.

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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.