Research

Cyber-physical energy systems.

I build sustainable, affordable, and reliable cyber-physical energy systems by integrating communication, computation, and control with physical grid infrastructure. My work spans large digital loads such as AI data centers, distributed energy resources, power-electronic grids, and the links between energy, water, and climate.

Methods

Causal inference

Isolates how infrastructure and operating rules change markets, prices, and households.

Optimization & control

Turns physical limits into implementable tools with performance and stability guarantees.

Communication theory

Determines what information a grid decision needs and how delay, loss, and bandwidth affect the physical response.

AI for science

Fills data gaps and connects physical models across sectors and scales.