Noah Fehr
Research and applied systems for AI, data, and strategic decision-making.
Based in Zürich · Originally from Madison, Wisconsin
Research
Current Work
Modeling GPU Innovation with Quantitative Patent Analysis
Examining innovation patterns in GPU technology through comprehensive patent analysis
In Progress
A Dynamic Reputation Model of Strategic Ambiguity
Dynamic signaling model analyzing how monitoring shapes equilibrium deception
Applied AI
Building and deploying full-stack AI systems from data architecture to LLM-powered analytics and automation.
Recent Projects
Enterprise AI Systems • BlueCallom
Built and deployed enterprise AI systems supporting analytics and knowledge workflows.
Custom AI Automation • Homeroom
Building automated pipelines for creative ingestion, analysis, and reporting.
Background
I am a Master's student in Science, Technology, and Policy at ETH Zurich, with a Bachelor's degree in Computer Science from Grinnell College. My work combines quantitative methods, applied machine learning, and natural language processing with institutional and policy analysis, with an emphasis on decision-making under uncertainty in real-world systems.
CV & Contact
Curriculum Vitae (PDF)
Last updated: Jan 2026
Research inquiries
Applied work