Research

Scientific AI, workflows, and computational systems for complex decision-making.

I build AI-enabled scientific workflows, agentic interfaces, co-simulation environments, and computational tools with applications across energy, water, stormwater/wastewater, weather, transportation, and communities.

Research areas as connected system-building work.

The themes below connect methods, software, data, models, simulations, and stakeholder-facing decision workflows.

Methods

LLM/RAG, agentic workflows, graph learning, tensor and matrix completion, sparse reconstruction, co-simulation, resilience metrics, restoration planning, and uncertainty-aware modeling.

Systems

CLARA, CISCS, HFG-TK, SWMM-TK, GIS pipelines, APIs, Python research software, OpenDSS, MATPOWER, EPANET, WNTR, SWMM, Path4GMNS, and related simulation toolchains.