Laura Lewis, Ph.D.

Assistant Professor, (BME)

Assistant Professor, (BME)

  • Primary Appointment Assistant Professor, Department of Biomedical Engineering
  • Education Ph.D. Neuroscience, MIT
  • Honors and Awards • Peter and Patricia Gruber International Research Award, Society for Neuroscience
    • NIH Pathway to Independence Award
    • Junior Fellow of the Harvard Society of Fellows
    • Kavli Fellow of the National Academy of Sciences
  • Areas of Interest Brain imaging; neural dynamics; computational neuroscience and signal processing; neural circuits underlying sleep and attention; decoding and predicting brain activity; neurovascular coupling; psychiatric and neurodegenerative disorders
  • Research Areas Brain function changes dynamically from moment to moment, yet current tools cannot precisely resolve how human brain activity changes rapidly over time. Our research develops computational and signal processing approaches for imaging large-scale brain networks, and applies them to study sleep, arousal, attention, and neurological and psychiatric disorders.

    1) Fast and multimodal brain imaging:
    A key limitation in studying human brain dynamics is the low spatiotemporal resolution of current noninvasive imaging methods. To overcome this barrier, we develop computational models and multimodal imaging approaches that can enable new inferences about neural activity, integrating fMRI, EEG, and signal processing to improve imaging techniques.

    2) Sleep, attention, and affective states:
    We apply these techniques to study the dynamic brain states that underlie sleep, attention, affective states, and neuromodulation. We study the control circuits that regulate brain states, and the network dynamics underlying sleep and impaired cognition after sleep deprivation.

Publications

Affiliation: Primary & Affiliated Faculty (BME)