To learn more about our team, please click their names or pictures to be directed to their faculty pages and directory information.
Ph.D. in Statistics: UCLA
Expert in signal processing and machine learning, and mother of four
MEDICAL SCHOOL - Columbia University, College of Physicians & Surgeons
PEDIATRICS RESIDENCY - New York University
UCLA 2018, Biology B.S.
MEDICAL SCHOOL - Mount Sinai School of Medicine
PEDIATRICS RESIDENCY - Children's Hospital Los Angeles, University of Southern California
UCLA 2020, Biology & Evolutionary Medicine B.S.
MEDICAL SCHOOL - Stony Brook University School of Medicine
PEDIATRICS RESIDENCY - New York Presbyterian - Weill Cornell
MEDICAL SCHOOL - Columbia University College of Physicians & Surgeons
PEDIATRICS RESIDENCY - University of Florida
UCLA's 2016 Code for the Mission ChatterBaby™ Team
Dr. Ariana Anderson – Principal Investigator
Lauren Dunlap – Mobile Developer
Usha Nookala – Signal Processing
in collaboration with the Computing Technologies Research Lab (CTRL)
UCLA Clinical and Translational Science Institute (CTSI UL1TR000124)
Burroughs Wellcome Fund
Semel Institute for Neuroscience and Human Behavior at UCLA
We gratefully acknowledge the additional contributions of:
Bianca Hoang Dang
UCLA Department of Statistics
UCLA Department of Electrical Engineering
OxVoc Team: Christine Parsons and Michelle Craske
Bianca Hoang Dang – Research Coordinator, ChatterBaby™ Translation Team Lead, Spanish Co-Translator
Yvette Quezeda – Spanish Co-Translator
Solène Poulhazan - French Translator
Sheila Shengchen Zhang - Chinese Translator
Pashmeen Kaur - Hindi Translator
Abrahim Razzak - Japanese Translator
Su Bin Yoon – Korean Translator
The ChatterBaby™ algorithm is collecting baby cries and developmental history to assess whether acoustic abnormalities heard in an infant's cry pattern may be a risk factor for a future developmental disorder such as autism spectrum disorder.
Baby audio files will be stored in UCLA data servers for future research regarding baby voice correlation with developmental infant history.* Using ChatterBaby™ will allow us to build our library of audio files to help us further our research.
For more information, please refer to the Consent Form that you acknowledged and accepted when launching the app.
ChatterBaby™ app was born and placed 1st at the 2016 Code for the Mission Challenge. UCLA's Code for the Mission App Competition's goal is to encourage the development of mobile apps that further our mission of education, research, and service.
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