Research topics: We study mechanisms of early brain and language development in order to develop therapies that can improve learning outcomes in children at risk for neurodevelopmental disabilities.
Techniques: We use MRI and behavioral assessments of neurocognition to study brain and language development infants and young children.
Seeking undergrads for: Academic year
Required skills: Programming experience, Strong communication and interpersonal skills - Experience with Matlab and/or Statistical programs is not required but certainly preferred.
This lab is particularly interested in mentoring: Undergrads from backgrounds that are underrepresented in STEM, Undergrads without previous exposure to laboratory research
How to apply: Contact Dr. Travis (email@example.com)
Project information: Example project — Measuring the language environment of children, particularly infants, is important to understand its impact on brain development and future neurodevelopmental outcomes. Infants born prematurely, as much as 3 months early, are particularly at risk for problems with language and brain development. We work with a device, Starling, that measures the language environment of the neonatal intensive care unit, relating those measures to health outcomes. The Starling is a small wearable device that uses speech recognition technology to automatically provide continuous counts of the surrounding language environment across multiple days. We are also looking for students who would be interested in performing large scale data analytics and processing of our speech, clinical (eg., cardiorespiratory) and neuroimaging (diffusion and quantitative T1 MRI) data.