(R’mani Haulcy SM ’19)
PhD Student, Electrical Engineering and Computer Science
Since childhood, R’mani Haulcy SM ’19 has been interested in Alzheimer’s, the neurodegenerative disease that begins with memory loss and progresses to dementia. “I don’t know that it is living life if you can’t remember anything,” she says, recalling the struggles of afflicted family members.
In the Spoken Language Systems Group within MIT’s Computer Science and Artificial Intelligence Laboratory, Haulcy uses machine learning to identify speech differences in people with cognitive impairments. Originally planning to work on self-driving cars, she shifted focus after taking a class on speech recognition from senior research scientist Jim Glass SM ’85, PhD ’88, now her advisor.
“There are themes in speech that we’re not able to hear, but models can pick up on them,” she explains, noting that machine learning can be used to distinguish one cognitive impairment from another, useful information for both clinicians and drug developers. Spotting Alzheimer’s at earlier stages may help researchers find methods to slow the disease’s progression—or someday prevent it.
A MathWorks Fellow, Haulcy is grateful that her fellowship allows her to concentrate exclusively on research. “Because of MIT, I’ve become aware of potential solutions that I never knew existed, and I believe in my ability to solve problems,” she says.
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This article was originally published in August 2021.