Room A227, LGRC Lowrise
I am Ph.D. candidate interested in how computing technologies can be used to understand, monitor, and improve human health. My work currently focuses on the development of wearable sensor-based technologies for objective assessment of motor function in several disease areas—including stroke, ataxia, and knee osteoarthritis. In particular, I am working towards developing systems that unobtrusively and remotely assess real-world motor performance, with a goal of enabling data-driven and patient-centered care. My research integrates data analytics, machine learning, and biomedical engineering and I enjoy close collaborations with experts in neuroscience, neurology, and biomechanics. In my free time, I enjoy playing automation and strategy video games and reading science fiction and fantasy.
I am currently a member of the AHHA lab, which I joined in 2017. I received my undergraduate education at Louisiana State University, graduating with college honors and degrees in computer science and mathematics. I am the recipient of nationally-competitive rewards, including the Barry M. Goldwater Scholarship and an honorable mention from the NSF Graduate Research Fellowship Program. I was previously employed by CenturyLink and have completed internships at Biogen and NASA.
|Aug 20, 2021||Completed research internship at Biogen Digital Health Science.|
|Mar 3, 2021||Our new article, “Decomposition of Reaching Movements Enables Detection and Measurement of Ataxia,” has been published in Cerebellum.|
- CerebellumDecomposition of Reaching Movements Enables Detection and Measurement of AtaxiaCerebellum 2021
- TNSRE Featured ArticleEstimating Upper-Limb Impairment Level in Stroke Survivors using Wearable Inertial Sensors and a Minimally-Burdensome Motor TaskIEEE Trans. Neural Syst. Rehabil. Eng. 2020
- TBMEA Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint KinematicsIEEE Trans. Biomed. Eng. 2020