Dr. Celeste Kidd

Associate Professor

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Biography

Celeste Kidd is an Associate Professor in the Department of Psychology at the University of California, Berkeley. She obtained her Ph.D. from the University of Rochester. Her research interests include attention, curiosity, learning, computational modeling, and cognitive development. At the Kidd Lab, she investigates the processes involved in knowledge acquisition, particularly in young children, by employing a combination of computational and behavioral methods. Her work draws inspiration from classic learning theories in educational psychology, including those proposed by Jean Piaget, Maria Montessori, and Lev Vygotsky. The lab develops computational models that are inspired by these traditional theories to make specific predictions and generate testable hypotheses regarding learning dynamics. Through designing behavioral experiments, the lab empirically differentiates competing learning theories by measuring what learners focus on, explore, and play with starting from infancy into childhood. The lab utilizes eye-trackers to measure visual fixations during passive viewing and touchscreens to examine touch-based exploration in kid-friendly apps while also studying traditional play behaviors. The results from her research contribute to quantitative theories that explain how data interacts with learners' growing knowledge and provide insights that inform education, parenting, and clinical practices.

Research Interests

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.