About Me
Hello, I am a third year graduate student in the Computer Science and Engineering department within the University of Washington. I’m currently working in the ICTD lab with Kurtis Heimerl and Tim Dettmers. I received both my bachelor’s degree in Electrical Engineering and Computer Science and Master of Engineering degree in Computer Science from MIT.
My research broadly addresses ways to make machine learning algorithms more applicable in low resource settings. Due to this interest, I closely follow work in edge machine learning, federated learning and hardware-software codesign of machine learning algorithms. At present, I’m looking at energy efficient ways to use various edge devices (android phone, raspberry pi and Azure percept) to perform wildlife detection for conservation and agricultural use cases. For this project, I look at both a multimodal approach for the detection (video and sound) as well as the edge optimization for energy efficiency. This is a joint project with Farmbeats and Nelson Farms in Eastern Washington and sponsored by Azure AI for Earth grant. My work with Tim is around algorithms for low resource training of large transformer models.