Glenn Ko

Glenn Ko

Machine Learning Acceleration

Harvard University



I am a Research Associate of Electrical Engineering and Computer Science at John A. Paulson School of Engineering and Applied Sciences of Harvard University. My research interests span the areas of machine learning, computer architecture and parallel computing, that results in algorithm-hardware co-design, a holistic optimization across vertical layers of abstraction - from algorithmic optimizations down to specialized semiconductor chips. These days, I’m working on solving the practical challenges of deploying large-scale machine learning on the cloud by leveraging model optimizations and efficient parallel computing.

I’ve worked at Samsung Electronics designing processors for smartphones and also spent time at Qualcomm and IBM researching efficient machine learning accelerator architectures.

I grew up in Korea, Singapore and Illinois, and enjoy playing sports and hiking new mountains outside of work.


  • Machine learning
  • Computer architecture
  • Parallel computing


  • 33 Oxford Street, Cambridge, MA 02138
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