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 7, 2024
|I will be presenting a talk titled, “Digital and Quantitative Behavioral Phenotyping in Neurologic Disease,” at the ML4Health Seminar Series at the Broad Institute.
|Nov 19, 2023
|Our article, “Detection and Assessment of Point-to-Point Movements during Functional Activities using Deep Learning and Kinematic Analyses of the Stroke-Affected Wrist” has been accepted by the IEEE Journal Biomedical and Health Informatics. It has also been nominated as a potential Featured Article for the Feb. 2024 issue.
|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.
- JBHIDetection and Assessment of Point-to-Point Movements during Functional Activities using Deep Learning and Kinematic Analyses of the Stroke-Affected WristIEEE J. Biomed. Health Inform 2023
- 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