Dr. Xiaoying Tu

Assistant Professor

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Biography

Xiaoying Tu is an Assistant Teaching Professor at Carnegie Mellon University with a joint appointment at the Heinz College of Information Systems and Public Policy and the Dietrich College. She teaches courses in database management, data mining, and statistics for both undergraduate and graduate levels. Additionally, she serves as the faculty advisor for the undergraduate Information Systems Student Consulting Project course. Her research interests include the economics of information systems, disruptive technologies in the entertainment industry, and digital piracy. Xiaoying earned her Ph.D. in Information Systems Management and her Master of Information Systems Management from Carnegie Mellon University. She obtained her Bachelor of Engineering in Computer Engineering from Nanyang Technological University in Singapore and worked as an analyst at Singapore Telecommunications before moving to the United States.

Research Interests

Experience

Assistant Teaching Professor

2021-10-01 — Present

Carnegie Mellon University • Pittsburgh, United States

Teaches courses in database management, data mining, and statistics for undergraduate and graduate students.

Post-doctoral Teaching Fellow

2020-08-01 — 2021-09-30

Carnegie Mellon University • Pittsburgh, United States

Supported teaching activities and assisted in course development.

Analyst

2007-06-01 — 2012-08-01

Singapore Telecommunications Limited • Singapore

Worked in the Information Systems Group.

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.