- Multiple papers accepted by prestigious journals such as Cell Reports Sustainability, IEEE PES ISGT Europe, IEEE SmartGridComm, iScience, IEEE Transactions on Energy Markets, Policy, and Regulation, etc.
- Spoke at conferences like MIT and AAAI 2025 Bridge Programme
- Secured research grants from Deloitte Climate Innovation Collaboratory and Alfred P. Sloan Foundation
Research Experience
- Performing research on AI for power systems optimization at Google DeepMind
- Leading the GRIFFIN lab at CU Boulder, focusing on grid-interactive frameworks for intelligent infrastructure
Background
Research interests include power systems operation, control, and planning; renewable energy integration; building-to-grid interactions; machine learning for energy systems; water-energy nexus studies; stochastic and distributed optimization techniques with energy applications; energy sustainability and resiliency.