Research

Quantitative methods to study AI infrastructure, strategic signaling, and governance under uncertainty.

Recent Projects

Hardware-Software Coupling in AI Accelerator Platforms: Patent Analysis of Software-Layer Shocks and Hardware Innovation
Master's thesis • 2026 • Supervised by Dr. Anurag Panda

A patent-based study of how within-platform and ecosystem-wide software shocks influence hardware design trajectories, cross-platform spillovers, and competition in AI accelerators.

In Progress
A Dynamic Reputation Model of Strategic Ambiguity
Independent research · 2025 · Supervised by Prof. Dr. Barton Lee

A dynamic signaling model analyzing how monitoring and commitment devices shape equilibrium deception.

Swiss Economy Forecasting with Principal Component Analysis
Research project · 2025

Applying machine learning techniques to forecast key Swiss economic indicators, examining model performance against traditional econometric approaches.

Past Projects

Bill Survival Analysis in Congressional Committees
Econometrics · 2025

Analysis of AI-related bill survival in U.S. Congress using BERTopic modeling and fixed effects regression.

Beyond the Giants: Small State Digital Sovereignty
Literature Review · 2025 · Supervised by Prof. Dr. Matthias Leese

An examination of how smaller nations navigate digital sovereignty challenges in a multipolar technological landscape.