Ziyu Shu

Ziyu Shu

I am a M.S. candidate in Data Science for Public Policy at Georgetown University, McCourt School of Public Policy, USA. My research and policy interests lie at the intersection of Computational Social Science, Foreign Policy, Public Administration, and AI Governance, with a particular focus on Conflict Processes and U.S.-China Relations. Before my graduate studies, I received my B.A. in International Politics from Peking University, Yuanpei College, China.

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Academic Research

MPSA 2026 Presentation

Alliances and War: Using Temporal Heterogeneous Graph Neural Networks to Predict Interstate Conflict

Python Machine Learning Network Analysis
Conflict visualization
APSA & PIPC 2026 Presentation

When Honey Tastes Bitter: When China's Development Projects Overseas Backfire on Its Political Influence

R Causal Inference

Data Portfolio

Python NLP Time Series Analysis

From Words to Actions: U.S.-China Political Incident Forecasting Through U.S. Official Statement Analysis

Using bilateral events data from GDELT and official White House statements from 2009 to 2025, we applied lexicon-based sentiment analysis to statements and examined their relationship with U.S–China events using time-series methods.

View on GitHub →
U.S.-China Political Incident Forecasting figure 1
U.S.-China Political Incident Forecasting figure 2
Python R Web Scraping Geospatial Analysis

Research Assistant Work: Department of Motor Vehicles in New Jersey

Geocoding spatial data visualization of defining DMV catchment areas at the census tract level. Data visualization in raincloud and lollipop plot to show distribution of Google ratings of DMV driving license service sites in New Jersey.

More interactive dashboard →
DMV New Jersey figure 1
DMV New Jersey figure 2

Experience

Feb 2025 – Aug 2025

Beijing, China

U.S.-China Business Council

Government Affairs & Business Advisory Analyst

Led the production of daily media sweep monitoring and analysis reports tracking U.S.–China relations. Conducted in-depth policy research on the Greater Bay Area and China’s AI initiatives, assessing implications for government strategy and regulatory frameworks. Coordinated high-level events and stakeholder meetings.

May 2024 – Aug 2024

Beijing, China

Deloitte

Digital Consultant & Business Analyst

Independently authored 200+ pages of technical and policy-facing documentation (UI requirements & system data-transfer protocols) translating evolving client and stakeholder needs into implementable specifications for AI-enabled business platforms. Partnered with front-end and back-end engineering teams to design, test, and deploy the products.