Research topics: We hope to use Mobile-AI tools to build large data libraries for training machine learning models used in the development of effective early interventions for kids with autism and related disorders.
Techniques: We develop Mobile Apps (Andorid and iOs) to collect massive amounts of phenotypic data (audio, video, survey) that we combine with genetic and metagenomic data to solve the G+E=P equation for autism and related disorders using statistical learning methods.
Seeking undergrads for: Academic year, Summer
Location: Flexible, with possibilities for remote or on-campus research projects
Required skills: Programming experience - Some Android development experience preferred, but not required.
This lab is particularly interested in mentoring: Undergrads from backgrounds that are underrepresented in STEM, students interested in Android development.
How to apply: Contact Kaiti Dunlap (firstname.lastname@example.org)
Project information: We are working on developing our app, GuessWhat (guesswhat.stanford.edu) to engage children with autism and related disorders across the globe and drive development of new early intervention and data capture systems that can be used for AI-enhanced early detection and treatment of developmental delays.