Extreme Weather · Infrastructure Resilience · Machine Learning
Quantifying how extreme weather disrupts the systems we depend on, and building the models to predict it.
I am a Principal Member of the Technical Staff at Sandia National Laboratories. My research sits at the intersection of extreme weather and critical infrastructure. I quantify how extreme events (e.g., hurricanes, wildfires, droughts, and compound hazards) disrupt energy, water, and agricultural systems. I build the models that help planners and operators prepare for them.
What I Do:
- Quantify extreme weather impacts on infrastructure using gridded climate data, station observations, and large operational datasets
- Develop machine learning and statistical methods for hazard and impact modeling, including reservoir computing for sub-seasonal drought forecasting
- Lead multi-institution research projects connecting government, industry, and academic partners
- Mentor postdocs, graduate students, and undergraduates in hazard modeling and data-driven risk analysis
Research Impact & Recognition:
- 43 peer reviewed publications across the energy, water, and food sectors
- $3.9M in directly managed research funding
- Co-investigator or task lead on $15.7M+ in multi-institution projects
- 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:
Extreme weather impacts | Sub-seasonal prediction | Renewable energy and grid resilience | Water management | Agricultural climate exposure