CV
You can also download a PDF version of my current CV.
Basics
| Name | Yuze Sui |
| yuzesui@stanford.edu | |
| Website | https://yuzesui97.github.io/ |
| Summary | Ph.D. Candidate in Sociology with a Ph.D. Minor in Management Science and Engineering at Stanford University, specializing in computational social science, organizations, and labor markets. |
Education
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2021.09 - 2026.06 Stanford, CA
Ph.D.
Stanford University
Sociology (Minor in Management Science and Engineering)
- CS 229: Machine Learning
- CS 224N: NLP with Deep Learning
- SOC 372: Research Design for Social Scientists
- PoliSci 450B: Causal Inference
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2015.09 - 2019.06 Medford, MA
Work
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2025.06 - 2025.08 Data Science Intern
Two Sigma Investments, LP
Feature modeler with alternative data.
- Constructed predictive features from large-scale datasets using economic hypotheses
Publications
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2025.05.01 What the Research on Chinese Bureaucracy Can Do for Organization Theory?
Management and Organization Review
Discusses how the study of Chinese organizations can contribute to general organizational theory in sociology and management.
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2023.03.01 The Chinese Communist Party and Regulatory Transparency in China’s Food Industry
PNAS Nexus
Examines how China's food safety regulatory system evolved and the role of the Chinese Communist Party in shaping transparency mechanisms.
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2020.04.15 How Digital Contact Tracing Slowed Covid-19 in East Asia
Harvard Business Review
Explains how East Asian countries applied mobile contact-tracing technologies and civic-minded compliance to flatten the Covid-19 curve.
Skills
| Computational Sociology | |
| Machine Learning | |
| Natural Language Processing | |
| Network Analysis | |
| Survival Analysis |
| Programming | |
| Python | |
| R | |
| MATLAB | |
| Stata | |
| SQL |
| Research Design | |
| A/B Testing | |
| Online Survey Design |
Languages
| English | |
| Fluent |
| Mandarin | |
| Native Speaker |
Projects
- 2024.09 - Present
Occupational Structure in the U.S. Labor Market
Using large-scale LinkedIn data to map and predict occupational mobility.
- Developed scalable Python pipelines that processed 200M+ LinkedIn profiles, applying NLP techniques to clean text and map self-reported job titles to official SOC occupation codes.
- Trained models on 120M+ individual career sequences to predict occupation switching, uncovering key demographic and skill correlates of mobility.
- 2022.09 - Present
Career Trajectories in Creative Industries
Studied career patterns among Hollywood professionals and musicians using survival and network analysis.
- Analyzed data on 10k+ Hollywood actors, producers, and musicians.
- 2022.09 - Present
Emergence and Diffusion of Scientific Concepts
Developed computational techniques to trace the emergence of scientific concepts in over 500k publications.
- Applied machine learning and large-scale text analysis in Python.