Daniel Spurr
Climate Science & AI Specialist
My journey in climate science has been driven by a fascination with how technology can help us understand and address environmental challenges.
Research & Expertise
Through my work at King's College London and as a Senior Reviewer at Outlier.AI, I've developed skills in remote sensing, GIS, and AI applications for climate science. This portfolio showcases both my research and technical projects, showing how I approach environmental problems with practical solutions.
Current Focus
I'm particularly interested in using satellite data and AI to tackle climate issues that matter. My MSc research focused on how remote sensing can improve our understanding of environmental changes, while my work with AI has shown me the potential of these tools to process complex climate data in meaningful ways.
Future Goals
I'm interested in pursuing doctoral research to further explore the intersection of climate science, remote sensing, and artificial intelligence. I'm also keen to collaborate with researchers and organizations who share this interest in using technology to address real-world environmental problems.
My Education
My Education
King’s College London
MSc Climate Change: Environment, Science & Policy
Pass with Merit (Equivalent to a 2:1)- Practicing Social Research
- Environmental Science and Policy Making
- Fundamentals of Climate Change
- Research Design and Project Management
- Earth Observation and Remote Sensing for Sustainability
- GIS and Spatial Data Science
- Resilience, Adaptation and Development
- Climate: Science and Society
University of Greenwich
BA Hons Marketing Management
Upper Second Class with Honours (2:1)
From Climate Science to Action – The World Bank Group
Coursera
My Skills
My Skills
Climate Science & Policy Analysis
My background combines technical understanding of climate systems with knowledge of environmental policy frameworks. I focus on bridging the gap between scientific findings and practical governance solutions for climate adaptation.
Artificial Intelligence Applications
I leverage machine learning and AI techniques to enhance environmental monitoring, improve predictive modeling, and optimize resource management strategies. My work includes developing and evaluating AI systems for climate applications.
Software Experience
IBM SPSS, NVivo, Microsoft Excel and other Microsoft Office programs, Google Earth Engine, QGIS
I welcome opportunities to discuss potential PhD collaborations, research projects, or professional opportunities in climate science and AI applications. Please feel free to reach out via email with any questions about my work!