Dr. Eric Xing

Professor

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Biography

Eric Xing is a Professor in the Department of Computer Science at Carnegie Mellon University and an Affiliated Faculty member in the Machine Learning Department. He has made significant contributions to the fields of machine learning and artificial intelligence, particularly in developing advanced algorithms and models that can be applied across various domains. His research interests encompass statistical learning, data mining, and probabilistic modeling, with a focus on understanding and harnessing the complexities of large-scale data. As a committed educator, he advises numerous students and has a track record of mentoring emerging talents in the field. His work has been widely published and recognized within the academic community, underscoring his influence and leadership in advancing the discipline of computer science.

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.