Casey Zampella, PhD, earned her doctorate in Clinical Psychology from the University of Rochester. She completed her APA-accredited Clinical Psychology internship at Children’s Hospital of Philadelphia and remained at CHOP for her postdoctoral fellowship at the Center for Autism Research.

Dr. Zampella’s research focuses on quantifying movement differences in autism and the role of movement in social communication. She is particularly interested in leveraging technology and dyadic paradigms to capture bidirectional interpersonal movement cues as they unfold in natural contexts.

As a researcher and licensed psychologist at CAR, Dr. Zampella works with children ranging in age from infancy to adolescence and their families. Many of her current studies use computational behavior analysis approaches to identify biobehavioral markers of autism, for improved early detection and characterization of individual differences. Dr. Zampella is also the Autism Track leader for the Psychology Internship Training Program at CHOP.

PhD, University of Rochester (Clinical Psychology), 2017

Internship, Children's Hospital of Philadelphia (Clinical Psychology), 2016-2017

Postdoctoral Fellowship, Children's Hospital of Philadelphia (Clinical Psychology), 2017-2020

Scientist

Clinical Psychologist

Autism Track Leader, Psychology Internship Training Program

Identifying Biobehavioral Markers of Autism through Computational Behavior Analysis of Social Movements
Clinical Research Loan Repayment Program, NIMH
2021-2023
PI: C. Zampella

Optimized Affective Computing Measures of Social Processes and Negative Valence in Youth Psychopathology
R01 MH125958, NIMH
2021-2026
MPIs: J. Herrington, E. Storch

Identifying Biobehavioral Markers of Atypical Social-Emotional Reciprocity in ASD
Eagles Autism Foundation
2020-2023
PI: C. Zampella

A Computer Vision Toolbox for Computational Analysis of Nonverbal Social Communication
R01 MH122599, NIMH
2020-2025
PI: B. Tunc

Computational Analysis of Interpersonal Synchrony: A Lens into the Early Emergence of Autism
Eagles Autism Foundation
2020-2023
MPIs: W. Guthrie, B. Tunc

Novel Computer Vision-Based Assessment of Infant-Caregiver Synchrony as an Early Level II Screening Tool for Autism
R21 HD102078, NICHD
2019-2022
PI: R. Schultz

Computer Vision Based Digital Phenotyping of 16p11.2 Arbaclofen Double Blind Placebo Controlled Study
Clinical Research Associates/Simons Foundation
2019-2022
PI: R. Schultz

Predicting Autism and Social Functioning from Computer Vision Analyses of Motor Synchrony During Dyadic Interactions
R01 MH118327, NIMH
2019-2023
PI: R. Schultz