University of California-San Francisco · NeuroscienceAutomated Speech Analysis Lab
Jet M.J. Vonk · San Francisco, California
Research Focus
Dr. Jet M.J. Vonk's research lab at UCSF focuses on utilizing automated speech analysis to detect early signs of Alzheimer's disease (AD). The lab aims to develop and validate a speech profile that captures subtle language changes indicative of cognitive decline, especially in racially and ethnically diverse populations. By employing machine learning techniques on speech samples, the lab seeks to create a clinically viable tool for early diagnosis and monitoring of AD, bridging gaps in current diagnostic practices.
Alzheimer's Diseasespeech analysismachine learningearly detectioncognitive declinedigital biomarkersneuroimaginglongitudinal studieslanguage impairmenthealth equity
Research Aims
3AIM 01Develop a specific speech profile to classify Alzheimer's disease diagnoses.
AIM 02Correlate the speech profile with neuroimaging biomarkers and cognitive measures.
AIM 03Validate the reproducibility of the speech profile with an independent cohort.
Skills the Lab Values
automated speech analysismachine learning algorithmsdata collectionneuroimaging techniques (e.g. MRI)statistical analysiscognitive assessmentlongitudinal study designspeech pattern recognitionethnographic research techniques
Output against the department
Publications118bottom 41% of dept.392nd of 671
this lab
most publishedleast published
Citations2.2kbottom 14% of dept.577th of 671
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.