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
Master's thesis • 2026
In Progress
A Dynamic Reputation Model of Strategic Ambiguity
Dynamic signaling model analyzing how monitoring shapes equilibrium deception
Independent research • 2025

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.
RAG, Multi-agent orchestration
Automated Analytics & Recommendations • Aidan
Built a full-stack analytics platform connecting customer data sources to automated analysis and actionable recommendations.
Data pipelines, AWS, Slack

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: Feb 2026
Research inquiries