About Me
I am a fourth-year PhD student in Computer Science at the University of Massachusetts Amherst, advised by Professor Prashant Shenoy and Professor David Irwin. My research focuses on building infrastructure for energy-constrained AI.
As computing demand accelerates, particularly from AI workloads, power scarcity is becoming a critical bottleneck. My work addresses this challenge through precise systems measurement, power-aware cluster control under grid constraints, large-scale analysis of carbon-aware scheduling limits, and renewable-native system design. The goal is to make AI workloads both reliable and sustainable in the face of real-world energy constraints.
Beyond research, I enjoy running and exploring new places. Check out my running map to see where I've been!
Recent News
- June 2024: Presented at e-Energy '24 on carbon intensity signal implications
- April 2024: Published paper at EuroSys '24 on carbon-aware workload shifting
- 2024: Featured on "Environmental Variables" podcast by Green Software Foundation
- 2024: Appeared on "Disseminate: The Computer Science Research Podcast"
For a complete list of publications and presentations, visit my Research page.