Dr. Maryam Dehnavi

Associate Professor

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Biography

Maryam Mehri Dehnavi is an Associate Professor in the Department of Computer Science at the University of Toronto and a Principal Research Scientist at NVIDIA. Her research group, ParaMathics, focuses on various aspects of cloud computing, machine learning, numerical analysis, compilers, programming languages, and high-performance computing. She develops scalable numerical methods and high-performance libraries, as well as domain-specific language compilers for high-performance cloud computing platforms. She has contributed significantly to the field, with numerous papers accepted in prestigious conferences such as SIGGRAPH, ICML, ICLR, and NeurIPS. Maryam has been recognized for her work with a Canada Research Chair in Parallel Distributed Computing and an Ontario Early Researcher Award in 2021. Her recent projects include innovative techniques for matrix computations, optimizations for machine learning algorithms, and the development of new methodologies in numerical analysis. She has also played active roles in the academic community, serving as a general chair for PPoPP 2023 and engaging in various panels and presentations.

Research Interests

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
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  • Two letters of reference
  • Statement of intent
  • Writing sample
  • Curriculum Vitae
Specialization Notes

Department of Sociology