Dr. Nisarg Shah

Associate Professor

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Biography

Nisarg Shah is an Associate Professor in the Department of Computer Science at the University of Toronto. His research focuses on algorithmic fairness, ethics related to artificial intelligence, and game theory. He investigates fairness, transparency, and explainability in machine learning, along with the application of these concepts in areas like participatory budgeting and voting methods. Shah aims to develop approaches that ensure equitable outcomes in automated decision-making systems through a detailed analysis of incentives and resource allocation. His work is pivotal in understanding the implications of AI technologies in society.

Research Interests

Algorithmic Fairness Ethics of Artificial Intelligence Fair Division Machine Learning Game Theory Incentives Participatory Budgeting Voting Methods

Requirements for University of Toronto

Master Program
Requirements
GPA Requirement
Required:3.3
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:93
Prerequisites
Appropriate four-year bachelor's degree Background in sociological theory and statistics preferred
Application Checklist
  • Transcripts
  • Two letters of reference
  • Statement of intent
  • Writing sample
  • Curriculum Vitae
Specialization Notes

Department of Sociology