Physical Climate Risk · Extreme Weather · Infrastructure Resilience

Quantifying how extreme weather disrupts critical infrastructure, and translating physical climate risk into decision-ready models.

I am a Principal Member of the Technical Staff at Sandia National Laboratories, working at the intersection of extreme weather, physical climate risk, and critical infrastructure. I quantify how extreme events (e.g., hurricanes, wildfires, drought, heat, flooding, and compound hazards) disrupt energy, water, and agricultural systems. I build models that help planners, operators, asset owners, and risk decision-makers prepare for those risks.

What I Do:

• Quantify extreme weather impacts on utility-scale solar, power systems, and water infrastructure
• Apply extreme value theory, spatiotemporal statistical modeling, and interpretable machine learning to gridded climate and operational data
• Develop reservoir computing methods for sub-seasonal drought forecasting
• Lead multi-institution projects across government, industry, and academic partners
• Translate hazard and climate data into planning, operations, resilience, and risk-management decisions
• Mentor postdocs, graduate students, and undergraduates in hazard modeling and climate risk analysis

Research Impact & Recognition:

• 44 peer-reviewed publications, including 11 first-authored papers, across the energy, water, and food sectors
• $3.9M in directly managed research funding
• Patent pending on Graph Reservoir Networks
• Best Paper Award, 2025 IEEE Resilience Week
• Member of the National Academies committee on Attribution of Extreme Weather and Climate Events and their Impacts
• Associate Editor, Earth’s Future journal

Research Applications:

Physical climate risk | Extreme value theory | Catastrophe risk analytics | Extreme weather impacts | Infrastructure resilience | Grid and energy resilience | Water systems | Sub-seasonal prediction | Decision-relevant risk modeling