Hi !! I am a PhD student at UC San Diego. I’m currently working on generative retrieval and recommendation, eg transformer-based generative models for sequential recommendation. I’m interested in semantic IDs, tokenizers, and quantization in generative recommendation systems. In 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, representation learning, scholarly document processing, AI for healthcare, ethics, and HCI. I’m funded by a NSF CS graduate research fellowship.

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