Interdisciplinary Perspectives on Climate Systems
Interdisciplinary Perspectives on Climate Systems
Interdisciplinary Perspectives on Climate Systems
Exploring carbon systems, lifecycle thinking, environmental data, and applied climate research through interdisciplinary perspectives
Exploring carbon systems, lifecycle thinking, environmental data, and applied climate research through interdisciplinary perspectives
Exploring carbon systems, lifecycle thinking, environmental data, and applied climate research through interdisciplinary perspectives
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Perspectives
Perspectives
Perspectives
Reflections on climate systems, carbon removal, and interdisciplinary environmental thinking
Reflections on climate systems, carbon removal, and interdisciplinary environmental thinking
Technical Notes
Technical Notes
Technical Notes
Technical workflows, analytical challenges, and evolving research methods
Technical workflows, analytical challenges, and evolving research methods
Fieldwork
Fieldwork
Fieldwork
Landscapes, observations, and environmental moments beyond the screen and lab
Landscapes, observations, and environmental moments beyond the screen and lab
Ongoing Questions
How do we measure climate impact?
I'm interested in how environmental systems interact beyond headline carbon numbers. Lifecycle thinking, uncertainty, and system boundaries often shape impact in ways that are difficult to simplify, yet essential to understand.
What happens between data and decisions?
Much of environmental research still relies on fragmented workflows, manual interpretation, and imperfect systems. I'm particularly interested in how analytical processes, automation, and reproducibility influence scientific reliability and decision making.
What can landscapes reveal?
Time outdoors often reshapes how I think about environmental systems. Landscapes reveal slowness, interconnectedness, and spatial relationships in ways that laboratory and computational work alone sometimes cannot.
Climate impact
I'm interested in how environmental systems interact beyond headline carbon numbers. Lifecycle thinking, uncertainty, and system boundaries often shape impact in ways that are difficult to simplify, yet essential to understand.
Data and decision
Much of environmental research still relies on fragmented workflows, manual interpretation, and imperfect systems. I'm particularly interested in how analytical processes, automation, and reproducibility influence scientific reliability and decision making.
Landscapes
Time outdoors often reshapes how I think about environmental systems. Landscapes reveal slowness, interconnectedness, and spatial relationships in ways that laboratory and computational work alone sometimes cannot.