- Email:
- yuana@iu.edu
- Department:
- Operations and Decision Technologies (ODT)
- Campus:
- IU, IU Bloomington
- Major:
- Information Systems
Bio
Aijia Yuan is a Ph.D. Candidate in the Department of Operations and Decision Technologies at the Kelley School of Business, Indiana University - Bloomington (expected graduation of May 2026). She serves as a Research Associate in Kelley’s Data Science and Artificial Intelligence Lab (DSAIL). Her research focuses on AI-enabled analytics grounded in machine learning, deep learning, and large language model-based approaches for the identification and therapy of mental disorders. Her work has been published in ACM Transactions on Management Information Systems (TMIS) and presented at leading conferences, such as the Hawaii International Conference on System Sciences (HICSS), Conference on Health IT and Analytics (CHITA), INFORMS Workshop on Data Science (WDS), and the IEEE International Conference on Digital Health (ICDH). Aijia received the Best Student Paper Award at CHITA 2023 and Best Student Paper Award Nomination at INFORMS WDS 2022, where she also earned the Best Reviewer Award. She is the recipient of the 2025 Alan R. Dennis Doctoral Fellowship and the 2026 Irsay Institute Graduate Fellowship at Indiana University. She is a member of AIS, INFORMS, POMS, ACM, and IEEE.
Research Interests
My research focuses on designing AI-enabled analytical approaches for identifying mental health disorders using sensor signal data collected from mobile and wearable devices, as well as developing large language model (LLM)-based tools for therapeutic support. Methodologically, I specialize in machine learning, deep learning, time series analysis, and large language models.