Brandon Oubre

Ph.D. Candidate, University of Massachusetts Amherst, College of Information and Computer Sciences.

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.

selected publications

  1. Cerebellum
    Decomposition of Reaching Movements Enables Detection and Measurement of Ataxia
    Oubre, Brandon, Daneault, Jean-Francois, Whritenour, Kallie, Khan, Nergis C., Stephen, Christopher D., Schmahmann, Jeremy D., Lee, Sunghoon Ivan, and Gupta, Anoopum S.
    Cerebellum 2021
  2. TNSRE Featured Article
    Estimating Upper-Limb Impairment Level in Stroke Survivors using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task
    Oubre, Brandon, Daneault, Jean-Francois, Jung, Hee-Tae, Whritenour, Kallie, Miranda, Jose Garcia Vivas, Park, Joonwoo, Ryu, Taekyeong, Kim, Yangsoo, and Lee, Sunghoon Ivan
    IEEE Trans. Neural Syst. Rehabil. Eng. 2020
  3. TBME
    A Simple Low-Cost Wearable Sensor for Long-Term Ambulatory Monitoring of Knee Joint Kinematics
    Oubre, Brandon, Daneault, Jean-Francois, Boyer, Katherine, Kim, Jae Hyun, Jasim, Mahmood, Bonato, Paolo, and Lee, Sunghoon Ivan
    IEEE Trans. Biomed. Eng. 2020