Dr. James Landay

Professor

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Biography

James Landay is the Anand Rajaraman Venky Harinarayan Professor and Co-Director of the Stanford Institute for Human-Centered AI at Stanford University. He specializes in human-computer interaction and has a rich academic background, having previously served as a Professor of Information Science at Cornell Tech and as a faculty member in the Computer Science & Engineering Department at the University of Washington for ten years. Landay held the position of Director at Intel Labs in Seattle from 2003 to 2006, where he led research in ubiquitous computing. He is also the co-founder and chief scientist of NetRaker, which was acquired by KeyNote Systems in 2004. Throughout his career, Landay has been recognized as an ACM Fellow and received the ACM SIGCHI Lifetime Research Award. He has been actively involved in various committees and has contributed to the academic community as a member of the NSF CISE Advisory Committee from 2010 to 2016. His current research interests include Technology Support for Behavior Change, Demonstrational User Interfaces, Mobile & Ubiquitous Computing, Cross-Cultural Interface Design, Human-Centered AI, and User Interface Design Tools. He has developed several tools and published significant contributions in the field of web interface design.

Research Interests

Courses

CS 147L CS 146 CS 147 CS 499 CS 499P CS 390A CS 390B CS 399 CS 399P SYMSYS 196 CS 199 CS 199P SYMSYS 290 CS 390D CS 191 CS 195 CS 191W CS 91SI CS 194H CS 47 CS 377E DESIGN 297

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.