I am postdoctoral research fellow interested in how computing technologies can be used to understand, monitor, and improve human health. My work 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 motor performance, monitor disease trajectoies, and identify early disease signs. My research integrates data analytics, machine learning, and biomedical engineering. 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 graduated with a Ph.D. in Computer Science from the University of Massachusetts, where I worked in the AHHA lab. 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.
|Sep 1, 2022||Began Research Fellow position at Massachusetts General Hospital Department of Neurology and Harvard Medical School.|
|Jul 20, 2022||Our article, “Estimating Post-Stroke Upper-Limb Impairment from Four Activities of Daily Living using a Single Wrist-Worn Inertial Sensor,” has been accepted at IEEE BHI’22.|
|Feb 22, 2022||Our article, “Estimating Ground Reaction Force and Center of Pressure using Low-Cost Wearable Devices,” has been selected as a featured article in the April 2022 issue of IEEE Transactions on Biomedical Engineering.|
|Jan 22, 2022||I have been awarded a Dissertation Writing Fellowship by the Manning College of Information and Computer Sciences.|
- TBME Featured ArticleEstimating Ground Reaction Force and Center of Pressure using Low-Cost Wearable DevicesIEEE Trans. Biomed. Eng. 2022
- 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