ashley shin
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Hi!! I’m currently a research fellow at the National Library of Medicine (NLM/NIH). My interests include information retrieval, embedding models, representation learning, scholarly document processing, recommender systems, biomedical natural language processing, AI for healthcare, machine learning, ethics, and HCI. I’m currently working on text embedding models for scientific document retrieval. I’ll begin PhD studies in computer science this fall at UC San Diego. I’ve been awarded a NSF graduate fellowship – CSGrad4US – which provides funding for PhD studies in computational fields. I studied philosophy at UC Santa Barbara for undergrad.

Feel free to reach me at ashleyhshin at gmail dot com :)

papers

Harnessing PubMed User Query Logs for Post Hoc Explanations of Recommended Similar Articles. Ashley Shin, Qiao Jin, James Anibal, and Zhiyong Lu. Preprint, under review 2024.

Multi-stage Literature Retrieval System Trained by PubMed Search Logs for Biomedical Question Answering. Ashley Shin, Qiao Jin, and Zhiyong Lu. CLEF (BioASQ workshop) 2023.

LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. Qiao Jin, Ashley Shin, Zhiyong Lu. ACM SIGIR (The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval) 2023.