Gabriel J. Cler is a postdoctoral fellow at in the Speech & Brain Research Group and Wellcome Centre for Integrative Neuroimaging at the University of Oxford. His research with Kate Watkins focuses on neuroimaging in people with speech and language disorders. In addition to leveraging large existing datasets, he works in concert with ongoing projects in developmental language disorder (BOLD) and stuttering (INSTEP). His work with Prof. Watkins is co-mentored by Prof. Steve Smith and funded by a fellowship with the United States National Institutes of Health - National Institute on Deafness and Other Communication Disorders (NIDCD).
Gabe completed his PhD in Computational Neuroscience at Boston University in 2018 with Cara Stepp and co-mentors Frank Guenther and Jay Bohland. He has a BS in Computer Science from Bradley University and a Graduate Certificate in Cognitive Science from the University of Central Florida. Gabe’s research involves applying quantitative and computational techniques to rehabilitate speech motor control disorders in children and adults. His work in the Stepp Lab for Sensorimotor Rehabilitation Engineering focused on developing and validating novel communication interfaces for individuals with severe paralysis, developing quantitative assessment and videogame rehabilitation for individuals with resonance disorders, and applying multivariate analysis methods to kinematic speech data.
Functional organisation for verb generation in children with developmental language disorder.
Krishnan S. et al, (2020), Neuroimage
Longitudinal Case Study of Transgender Voice Changes Under Testosterone Hormone Therapy.
Cler GJ. et al, (2020), J Voice, 34, 748 - 762
Integrated Head-Tilt and Electromyographic Cursor Control.
Vojtech JM. et al, (2020), IEEE Trans Neural Syst Rehabil Eng, 28, 1442 - 1451
Listener Age and Gender Diversity: Effects on Voice-based Perception of Gender.
Brown KM. et al, (2020), J Voice
Optimized and Predictive Phonemic Interfaces for Augmentative and Alternative Communication.
Cler GJ. et al, (2019), J Speech Lang Hear Res, 62, 2065 - 2081