Marc Maffei, M.S., CCC-SLP
Doctoral Research Fellow
Department: Speech and Feeding Disorders Lab
Office Location: Center for Health and Rehabilitation Research, Building 79/96
Marc is a PhD student in the Rehabilitation Sciences program at the MGH Institute of Health Professions (IHP) and a Doctoral Research Fellow at the Speech and Feeding Disorders Lab.
Prior to joining the SFDL team in 2019, Marc worked as a clinical speech-language pathologist at Rhode Island Hospital and Hasbro Children’s Hospital in Providence, Rhode Island, where he specialized in craniofacial and resonance disorders, voice disorders, and motor speech disorders.
Marc is interested in the development of speech motor control and in the assessment and treatment of motor speech disorders. He is currently investigating these topics using acoustic and kinematic methods in populations including adults with amyotrophic lateral sclerosis (ALS) and minimally verbal children with autism spectrum disorder (ASD).
B.A., Linguistics, New York University, New York, NY
M.S., Communication Sciences and Disorders, MGH Institute of Health Professions, Boston, MA
Rowe, H. P., Gutz, S., E., Maffei, M., & Green, J. R. (Accepted). Acoustic-based articulatory phenotypes of amyotrophic lateral sclerosis and Parkinson's disease: Towards an interpretable, hypothesis-driven framework of motor control. Submitted to Proceedings of Interspeech 2020. Shanghai, China 2020.
Mehta, D., Van Stan, Masson, M., Maffei, M., & Hillman. (2017). Relating ambulatory voice measures with self-ratings of vocal fatigue in individuals with phonotraumatic vocal hyperfunction. The Journal of the Acoustical Society of America, 141(5), 3838.
Van Stan, J. H., Maffei, M., Masson, M. L. V., Mehta, D. D., Burns, J. A., & Hillman, R. E. (2017). Self-ratings of vocal status in daily life: Reliability and validity for patients with vocal hyperfunction and a normative group. American Journal of Speech-Language Pathology, 26(4), 1167–1177.
Maffei, M., Van Stan, J. H., Hillman, R. E., & Mehta, D. D. (2016). Correlating ambulatory voice measures with vocal fatigue self-ratings in individuals with MTD and normal controls. Paper presented at the Proceedings of Annual Convention of the American Speech-Language-Hearing Association. Philadelphia, PA, United States.
Cai, S., Richburg, B., Maffei, M., Alvarado, I., Cattiau, J., Seaver, K. Green, J. R., & Brenner, M. (2020). Recognition of short utterances from a closed set produced by dysarthric speakers using a deep convolutional network. Motor Speech Conference, Santa Barbara, CA.
Maffei, M., Van Stan, J. H., Hillman, R. E., Mehta, D. D. (2016). Correlating ambulatory voice measures with vocal fatigue self-ratings in individuals with muscle tension dysphonia and matched controls. ASHA National Convention, Philadelphia, PA. (Student Research Travel Award)