aL xin

aL xin

Joint Stats/PNC PhD student.

Publications

This page only includes works where I had a significant contribution. The full list can be found on my Google Scholar profile.

fastFMM extension to concurrent functional linear mixed models

Published in eLife, 2026

Functional LMMs allow modeling associations between photometry traces and trial-specific scalar values like behavioral summaries and session number, while also accounting for between-animal heterogeneity. Here, we extend the method to concurrent FLMMs (cFLMMs), a method that can fit the instantaneous relationship between functional outcomes and functional covariates. (Reviewed Preprint).

Recommended citation: Xin AW, Cui E, Pereira F, Loewinger G. Capturing instantaneous neural signal-behavior relationships with concurrent functional mixed models. eLife. 2026 Mar 18;15. doi: 10.7554/eLife.109428.1
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LLMs detect depression outcomes

Published in Journal of the American Medical Informatics Association, 2024

LLM-based classification models could identify outcomes important to adolescents, such as friendships or academic and vocational functioning, in text transcripts of patient interviews. By using clinical data, we also aim to better generalize to clinical settings compared to studies based on public social media data.

Recommended citation: Xin AW, Nielson DM, Krause KR, Fiorini G, Midgley N, Pereira F, Lossio-Ventura JA. Using large language models to detect outcomes in qualitative studies of adolescent depression. Journal of the American Medical Informatics Association. 2024 Dec 11;ocae298.
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