Dr. Michael Guerzhoy

Assistant Professor

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Biography

Michael Guerzhoy is an Assistant Professor in the Teaching Stream at the University of Toronto. His research interests focus on Interpretable Machine Learning and Mechanistic Interpretability, emphasizing the importance of understanding machine learning models. He is also deeply engaged in Pedagogy, particularly in the realms of data science and introductory programming. His commitment to effective teaching aligns with his research, as he seeks innovative ways to incorporate machine learning concepts into educational contexts. Through his work, Guerzhoy aims to enhance the clarity and usability of machine learning algorithms, ensuring they are interpretable for practitioners and educators alike.

Research Interests

Interpretable Machine Learning Mechanistic Interpretability Machine Learning Natural Language Processing Data Science Pedagogy Introductory Programming

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