Cheng Li is a senior researcher at Microsoft. Her research lies in the field of GPU-accelerated applications, with an emphasis on Deep Learning (DL). Her work has focused on understanding and optimizing DL workloads. At Microsoft, sje works on improving the performance/usability of DL applications in production, building systematic profiling/optimization stacks for DL, and integrating system technology into Microsoft DeepSpeed.

She received her PhD in CS from University of Illinois at Urbana-Champaign. During her PhD, she developed a number of open-source tools to benchmark, profile, and summarize DL training and inference across hardware and software stacks. The tools have been used to inform system design for DL model serving and develop highly tuned GPU kernels for model inference.
Machine Learning and Artificial Intelligence
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