I’m a Scientist at Los Alamos National Laboratory working at the intersection of hydrology, Earth observation, and AI for prediction and decision support. I’m especially interested in data fusion approaches that make the most of today’s growing troves of observations and translate them into insights that matter outside the lab. Much of my work sits in water resources and climate impacts, including watershed modeling, water quality and availability, and ecological impacts. I also specialize in the Arctic, where permafrost and snow add complexity to the water cycle and land surface processes.
I enjoy mentoring students and postdocs who "think big," are technically inclined, and understand the importance of communication. I try to run projects with clear goals, frequent feedback, and plenty of autonomy once the direction is set. While I spend most days in front of a computer, I also value field work as a reality check for models and data. Outside of work, I climb mountains, ride dirt and mountain bikes, backcountry ski, and build and maintain trails.
If you’re here for…
- Projects and impact: Featured software · CV
- Research and publications: Research · Publications
- Opportunities and collaborations: People + mentorship · Contact
Featured work
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VotE / Hydrotwin — data fusion platform for river-centric hydrologic data (an AI-ready “digital twin” direction).
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RivGraph — algorithms that extract river/delta channel networks from imagery and represent them as analyzable graphs.
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DeepReservoir — reinforcement learning framework for optimizing reservoir operations in scenario-driven simulated environments.
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Any opinions or views expressed on this website are solely mine and do not reflect those of my employer.