I am postdoctoral research fellow interested in how computing technologies can be used to understand, monitor, and improve human health. My work focuses on developing technologies for objective assessment of motor function in several disease areas—including stroke, ataxia, and knee osteoarthritis. In particular, I am developing systems to unobtrusively and remotely assess motor performance, monitor disease trajectories, 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 received my Ph.D. in Computer Science from the University of Massachusetts Amherst, and was awarded the 2021–2022 Outstanding Dissertation Award by the Manning College of Information and Computer Sciences. I was a member of the AHHA lab during my doctoral studies. I have also been the recipient of nationally-competitive rewards, including the Barry M. Goldwater Scholarship and an honorable mention from the NSF Graduate Research Fellowship Program.
|Feb 13, 2023||I have been awarded the 2021–2022 Oustanding Dissertation Award by the Manning College of Information and Computer Sciences.|
|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.|
- 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