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. Click here to access the committee consensus report that was released in July 2026.
- 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