Dr. David Varodayan

Assistant Professor

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Biography

David Varodayan is an Associate Teaching Professor at Carnegie Mellon University’s College of Engineering, specifically in the Information Networking Institute. His research interests focus on the interplay between artificial intelligence (AI) and information security, particularly the security of AI and machine learning systems. He has developed and taught innovative graduate courses including 'Introduction to Machine Learning Adversaries Mind' and 'AI Applications in Information Security'. Varodayan is a core member of the team that launched CMU’s Master’s degree programs in AI Engineering. Before joining CMU, he held teaching faculty positions at Stanford University and the University of Illinois at Urbana-Champaign, where he received several accolades for his teaching, including the George Anner Excellence in Undergraduate Teaching Award and the Engineering Council Outstanding Advising Award. He holds a Ph.D. and a Master’s degree in Electrical Engineering from Stanford University and a Bachelor’s degree in Engineering Science from the University of Toronto.

Research Interests

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.