Summary
Kamran Chitsaz is a machine learning researcher at Mila with a decade of technical experience, specializing in making neural networks more efficient, robust, and energy-aware. His trajectory spans from CNN optimization in undergrad to master’s work on robustness and energy efficiency, and now to efficient pretraining and quantization for large models alongside applications in molecule discovery. Based in Montreal and pursuing an MSc in Electrical Engineering at Polytechnique Montréal, he blends hardware-aware thinking from a computer hardware engineering background with cutting-edge ML research. Kamran’s work marries practical efficiency gains with scientific rigor, often targeting deployment-friendly techniques that reduce compute and energy costs for large-scale models.
9 years of coding experience
Master of Science - MS, Electrical and Electronics Engineering, Master of Science - MS, Electrical and Electronics Engineering at Polytechnique Montréal
Bachelor of Science - BS, Computer Hardware Engineering, Bachelor of Science - BS, Computer Hardware Engineering at Isfahan University of Technology