Dr. Cynthia Bailey

Assistant Professor

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Biography

Cynthia Bailey is a Senior Lecturer in Computer Science at Stanford University, where she focuses her scholarship on computer science education and the social impacts of technology, particularly in the areas of artificial intelligence and machine learning. She has played a significant role in developing innovative courses addressing Equity and Governance in Artificial Intelligence, as well as the intersection of Race and Gender in Silicon Valley. Her teaching and research have been recognized with several awards, including the Lloyd W. Dinkelspiel Award for exceptional contributions to undergraduate education at Stanford, the Lasting Impact Award from the International Computing Education Research conference, and a recognition for having one of the 'Top 10 Papers of All Time' during the 50th anniversary ACM SIGCSE Technical Symposium. Cynthia has also received the Professor of the Year award from the Stanford Society of Women Engineers. Additionally, she has consulted for major organizations including Apple and NASA, as well as various law firms and machine learning startups.

Research Interests

Experience

Senior Lecturer

— Present

Stanford University • Stanford, CA

Lecturer in the Department of Computer Science focusing on AI policy and education.

AI Policy Fellow

— Present

United States Senate/AAAS • Washington, DC

Involved in policy advising related to artificial intelligence and education.

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.