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Jiechen Zhao

PhD

University of Toronto

I am a PhD gradduate student at University of Toronto , and I am fortunate to be supervised by Natalie Enright Jerger.

Generally, I am interested in solving problems relating to software infrastructure and heterogeneous hardware in data centers, including cloud systems, machine learning systems, and agentic systems.

I worked as a Reserch Intern at Microsoft Research.

Fiat Lux.

Click here to see my academic geneology, all the way back to the 19th century!

CV

Solving a problem simply means
representing it so as to
make the solution transparent.
-- Herbert Simon, Sciences of the Artificial

Recent News

Research Interests

  • Reinforment Learning Algorithms and Infrastructure
  • Large language models (LLM) quantization and compression
  • Agentic systems
  • Machine Learning (Networked) Systems
  • Sustainable Systems

Publications