I am postdoctoral research fellow interested in how computing technologies can be used to understand, monitor, and improve human health. More specficically, my research interests include mobile health and health informatics, with a focus on quantitative behavioral assessment of neurologic disease. My work frequently employs data science and machine learning methodologies to model time-series sensor data representing human movement. In the context of digital and behavioral phenotyping and disease assessment, these data have the potential to 1) enable identification of subtle, early disease signs, 2) form the basis of more sensitive measures of disease progression to support clinical trials, and 3) support patient-centric and personalized care. This research is highly interdisciplinary, and I enjoy close collaborations with experts in neurology, neuroscience, and biomechanics.
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 currently work in the Laboratory for Deep Neurophenotyping. In addition to my research, I am helping to develop Neurobooth, which supports time-synchronized, multi-modal capture of behavioral task performance.
|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