Faculty Affiliates
Temiloluwa Prioleau, PhD
Temiloluwa Prioleau, PhD
Assistant Professor of Computer Science, Dartmouth College
Temiloluwa Prioleau is an Assistant Professor in the Department of Computer Science at Dartmouth College. Her research focuses on developing mobile, wearable, and digital solutions to understand, monitor, and affect bio-behavioral factors that influence health outcomes. Some of her current projects include: Digital SMD – Developing Digital Tools for Improved Self-Management of Diabetes, and Sensor-based Dietary Monitoring. She has been a recipient of several awards, some of which are, the Rice Academy Post-doctoral of Fellowship (2016 – 2018), Achievement Rewards for College Scientists Fellowship (2012 – 2016), and National Science Foundation (NSF) Graduate Research Fellowship (2013 – 2016).
Before joining Dartmouth, she was a post-doc in the Scalable Health Lab at Rice University. She received her B.Sc. and Ph.D. in Electrical Engineering from The University of Texas at Austin, and Georgia Institute of Technology, respectively. In her leisure, she enjoys spending time with family, dancing, doing yoga, and traveling.
Selected Publications
- Bartolome A, Prioleau T. A computational framework for discovering digital biomarkers of glycemic control. NPJ Digit Med. 2022 Aug 8;5(1):111. doi: 10.1038/s41746-022-00656-z. PMID: 35941355. View Source
- Bartolome A, Shah S, Prioleau T. GlucoMine: A case for improving the use of wearable device data in diabetes management. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2021 Sep 14;5(3):1-24. View Source
- Gu K, Vosoughi S, Prioleau T. SymptomID: A framework for rapid symptom identification in pandemics using news reports. ACM Transactions on Management Information Systems (TMIS). 2021 Sep 8;12(4):1-7. View Source
- Morton S, Li R, Dibbo S, Prioleau T. Data-driven insights on behavioral factors that affect diabetes management. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5557-5562. doi: 10.1109/EMBC44109.2020.9176414. PMID: 33019237. View Source
- Prioleau T, Moore Ii E, Ghovanloo M. Unobtrusive and wearable systems for automatic dietary monitoring. IEEE Trans Biomed Eng. 2017 Sep;64(9):2075-2089. doi: 10.1109/TBME.2016.2631246. PMID: 28092510. View Source