Noah Fehr

Research and applied systems for AI infrastructure, data, and strategic decision-making.

Based in Zürich · Originally from Madison, Wisconsin

Research

Current Work

Hardware-Software Coupling in AI Accelerator Platforms

Using patent data and topic modeling to study how software-layer shocks reshape hardware innovation and competition in AI accelerators.

Master's thesis • 2026

In Progress

A Dynamic Reputation Model of Strategic Ambiguity

Dynamic signaling model focused on Taiwanese national security and how monitoring shapes equilibrium deception.

Independent research • 2025

Explore research

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

More recent projects

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 AI infrastructure, industrial policy, and decision-making under uncertainty in real-world systems. Upon completing my Master's, I will be joining the geotechnology team at Eurasia Group, focused on AI and semiconductors.

CV & Contact

Curriculum Vitae (PDF)

Last updated: June 2026

Research inquiries

fehrno@ethz.ch

Applied work

noahfehr0@gmail.com