Don Dennis

Don Dennis is a 2021 research intern in the Applied Sciences Group (ASG) at Microsoft.  He is broadly interested in the areas of machine learning, optimization, and theoretical computer science.

He is a second-year Ph.D. student in the machine-learning department at Carnegie-Mellon University (CMU), advised by Prof. Virginia Smith.  Before CMU he was a research fellow at Microsoft Research India as part of the Machine Learning and Optimization (MLO) group, where he worked with Prateek Jain and Harsha Simhadri on algorithms for resource-efficient machine learning, helping to develop novel machine-learning algorithms for on-device inference on time-series data (audio, sensor data, etc.) on devices with very limited resources.

Don earned his bachelor’s degree from the Indian Institute of Technology, Patna.  For his thesis he worked on designing power-efficient RISC-V microarchitectures and their FPGA prototypes.

• Progressive Knowledge Distillation: Balancing Inference Latency and Accuracy at Runtime

  Workshop on Efficient Systems for Foundation Models @ ICML2023 July, 2023

  By Don Dennis, Abhishek Shetty, Anish Sevekari, Kazuhito Koishida, Virginia Smith