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My research interest is in digital health, wearable technology, and data science, with a focus on human-centered computing solutions that enable personalized health. I co-direct the Augmented Health Lab and am an affliate of the Center for Technology and Behavioral Health (CTBH).
A. Bartolome, S. Shah, T. Prioleau, "GlucoMine: A Case for Improving the Use of Wearable Device Data in Diabetes Management," Proc. ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), vol. 5, no. 3, 2021. DOI: https://doi.org/10.1145/3478109
K. Gu, S. Vosoughi, T. Prioleau, "SymptomID: A Framework for Rapid Identification of Pandemics using News Reports," ACM Transactions on Management Information Systems (TMIS), vol. 12, no. 4, 2021. DOI: https://doi.org/10.1145/3462441
S. Morton, R. Li, S. Dibbo, T. Prioleau, "Data-driven Insights on Behavioral Factors that Affect Diabetes Management," IEEE Engineering in Medicine and Biology Conference (EMBC), 2020. DOI: 10.1109/EMBC44109.2020.9176414
T. Prioleau, A. Sabharwal, M. Vasudevan, "Understanding Reflection Needs for Personal Health Data in Diabetes." Int. Conf. on Pervasive Computing for Healthcare (PervasiveHealth), 2020. DOI: https://doi.org/10.1145/3421937.3421972