Dr. Sarah Jane Leslie

Professor

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Biography

Sarah-Jane Leslie is a cognitive scientist currently appointed Class of 1943 Professor of Philosophy at Princeton University. She co-directs the Natural Artificial Minds initiative and is affiliated with Princeton’s AI Lab, the Department of Psychology, the Program in Cognitive Science, and the Program in Linguistics. Leslie has served as the Dean of the Graduate School, Vice Dean of Faculty Development, and Director of the Program in Linguistics and has been deeply involved in the development of the new cognitive science program. Her research primarily investigates cognitive psychology, focusing on how generic generalizations affect perceptions and understanding in human cognition. Leslie's work highlights significant academic gender gaps, particularly in fields that emphasize 'raw brilliance.' Recently, her research has moved towards computational modeling to explore interactions between artificial intelligence and cognitive science. She has developed various classes aimed at introducing students to machine learning in a comprehensible manner without extensive mathematical prerequisites. Leslie has been recognized with numerous awards, including the Stanton Award from the Society for Philosophy and Psychology, and her work has garnered extensive media coverage for addressing issues of gender stereotyping in academia.

Research Interests

Experience

Class of 1943 Professor of Philosophy

2018-01-01 — Present

Princeton University • Princeton, NJ

Current position, focusing on cognitive science.

Dean of the Graduate School

2015-01-01 — 2018-01-01

Princeton University • Princeton, NJ

Oversaw graduate programs and initiatives.

Vice Dean of Faculty Development

2013-01-01 — 2015-01-01

Princeton University • Princeton, NJ

Implemented faculty development strategies.

Requirements for Princeton University

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Speaking
Required:27
IELTS
Speaking
Required:8
Prerequisites
Bachelor's degree in engineering or science Strong background in mathematics, materials, physics, or related engineering
Application Checklist
  • Academic Statement of Purpose
  • Personal Statement
  • Resume/CV
  • Three Letters of Recommendation
  • Transcripts
  • Application Fee
Specialization Notes

GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.