Dr. Sarah Thomas

Professor

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Biography

Sarah Thomas is a Professor of Computer Science at Stanford University. She received her PhD in Computer Science from MIT in 2004. Her research interests include machine learning, artificial intelligence, computer vision, robotics, and natural language processing. She has published over 100 papers in top academic conferences and journals. She has also received several awards for his research, including the ACM SIGKDD Innovation Award, the NSF CAREER Award, and the Google Faculty Research Award. Professor Thomas is a passionate teacher and has won numerous teaching awards. She is also an active member of the computer science community and has served on several program committees and editorial boards. She is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and the Institute of Electrical and Electronics Engineers (IEEE).

Research Interests

Experience

Research Scientist

2005-05-01 — 2008-01-03

Google • Mountain View, CA

Developed new algorithms for machine learning and natural language processing.

Software Engineer

2008-05-15 — 2010-05-31

Apple Inc. • Cupertino, CA

Designed and developed software for the iPhone and iPad.

Professor

2010-06-01 — Present

Stanford University • Stanford, CA

Currently teaching undergraduate and graduate courses in computer science. Conducting research on computer vision and robotics.

Awards

#3

ACM SIGKDD Innovation Award

2011-02-01
#1

NSF CAREER Award

2018-01-18
#2

Inc. Magazine 30 Under 30

2024-05-06

Patents

Method and System for Context-Aware

US 17,123,456 B1 2024-05-14
https://www.uspto.gov/

Collaborative Learning Framework for

US 16,876,543 B2 2022-02-12
https://www.uspto.gov

Augmented Reality System for Real-Time Sign

US 18,456,123 B1 2024-05-18
https://www.uspto.gov

Courses

Computer Vision Robotics AI Introduction to CS

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.