Dr. Shai Ben David

Professor

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Biography

Shai Ben-David is a professor at the Cheriton School of Computer Science at the University of Waterloo. He is recognized for his significant contributions to machine learning theory, particularly in areas such as unsupervised learning, clustering, domain adaptation, and transfer learning. His research emphasizes fairness, reliability, and interpretability of machine learning-based tools, often delving into the logical applications of computer science theory. Ben-David holds a Ph.D. from the Hebrew University in Jerusalem, obtained in 1987, and has been involved in various scholarly activities as a University Research Chair.

Research Interests

Machine Learning Unsupervised Learning Clustering Domain Adaptation Transfer Learning Fairness in Machine Learning Reliability in Machine Learning Interpretability in Machine Learning Logic Applications in Computer Science Theory

Requirements for University of Waterloo

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:90
Prerequisites
Honours Bachelor's degree in Psychology or related field Strong background in Statistics
Application Checklist
  • Transcripts
  • 3 Academic References
  • Statement of Interest
  • Supplementary Information Form
  • Resume/CV
Specialization Notes

Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.