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Professor Dr. Sushant Sachdeva

Associate Professor

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Biography

Sushant Sachdeva is an Associate Professor at the University of Toronto Mississauga and a faculty member at the Vector Institute. He has a distinguished academic career with various notable positions, including a visitor role at the Institute for Advanced Study from 2016 to 2017 and as a research scientist at Google from 2014 to 2016. He completed his Ph.D. in Computer Science at Princeton University and has held postdoctoral positions at the Simons Institute and Yale University. His research interests lie in algorithms, particularly in designing fast algorithms and mathematical machine learning, emphasizing optimization, representation learning, and mixing Markov chains. He actively supports MSc and PhD students with a strong background in computer science and mathematics, guiding them through projects related to model training and learning efficiency. His contributions to the field have been recognized with multiple awards, including the Sloan Research Fellowship and prestigious paper awards at leading conferences in computer science.

Research Interests

Algorithms Graph Problems Convex Optimization Numerical Linear Algebra Mathematical Machine Learning Optimization Representation Learning Markov Chains

Experience

Associate Professor

2019-09-01 — Present

University of Toronto Mississauga • Toronto, ON, Canada

Teaching and research in computer science, focusing on algorithms and machine learning.

Visiting Researcher

2016-09-01 — 2017-06-01

Institute for Advanced Study • Princeton, NJ, USA

Conducted research on algorithms and optimization.

Research Scientist

2014-01-01 — 2016-01-01

Google • Mountain View, CA, USA

Worked on machine learning and algorithm design.

Postdoctoral Associate

2013-09-01 — 2014-08-01

Yale University • New Haven, CT, USA

Research in the field of mathematics and computer science related to algorithms.

Awards

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Infosys Award for Engineering in Computer Science 2025

2023-12-01
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Frontiers of Science Award 2023

2023-06-01
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Sloan Research Fellowship 2023

2023-02-01
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Young Alumni Achiever Award IIT Bombay

2023-02-01

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