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Andrew Hummel

I work at the intersection of data systems and economic policy. Currently building data infrastructure and analytics for a startup navigating the early-stage chaos.

Employment

Head of Data Strategy @ Milly Books (2023—Present)
First hire @ Milly; Built and owned the end-to-end data stack (dbt, Dagster, Metabase), defined core metrics from 0 → 1, and shipped analytics and pipelines that drove GTM decisions, seller engagement, and buyer targeting
Marketplace Research Intern @ Xometry (2021—2023)
I worked on platform economics and supply-demand modeling for bizops—segmenting buyers, identifying supply bottlenecks, and modeling price elasticity to help make custom manufacturing more efficient and scalable

Education

M.Sc. International Public and Social Policy (2023—2024)
London School of Economics and Political Science - Coursework focus on intersections in artificial intelligence, national security, and surveillance, with my dissertation focusing on algorithmic workplace surveillance under the GDPR.
Final Year Bachelor's Exchange (2021—2022)
University of Zürich - Courses in international fiscal policy dynamics, investment flows, and China’s Belt & Road Initiative
B.S. Economics (2018—2022)
University of Kentucky

Noteable Projects

Historical Precedents for AI-Driven Economic Hegemony (2025)
This project analyzed historical technology transitions to predict how AI will reshape global power dynamics by 2035, examining whether AI itself could become the dominant global superpower
Paper (PDF)
Enabling the Panpoticon? GDPR, Employee Power, and Workplace Surveillance (2024)
Distinction-earning LSE master's dissertation; I explored how well the GDPR protects employees from modern workplace surveillance powered by machine learning
Paper (PDF)
Measuring AI's Sectoral Impact Across Global Markets (2024)
Are massive AI investments translating into measurable productivity gains, or are we experiencing a modern productivity paradox?
Paper (PDF) Powerpoint (PDF)
Modeling Economic Fragility in the Age of Semiconductor Reliance (2024)
This research quantifies how semiconductor chokepoints like TSMC and ASML create economic vulnerabilities, using network modeling and trade simulations to show that chip supply disruptions could reduce national GDP by up to 10%
Paper (PDF)
Predicting and Preempting Fossil Fuel Resistance to Fusion Energy (2025)
in-progress
LinkedIn GitHub

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