Hi!! I’m a first year PhD student at UC San Diego, advised by Julian McAuley. I’m currently working on generative retrieval and recommendation, including LLMs and other transformer-based models for sequential recommendation. In the past, I’ve worked on biomedical document retrieval, primarily using dense retrievers and text embedding models, in addition to reranking and document similarity. My interests include information retrieval, recommender systems, embedding models, representation learning, scholarly document processing, biomedical NLP, AI for healthcare, machine learning, ethics, HCI. I’m funded by a NSF CS graduate research fellowship.

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