I study how institutions and social networks shape opportunity, and develop generative AI models and tools.
I'm a PhD student at
HKUST supervised by Prof. Huamin Qu and Prof.
Cameron Campbell, and previously earned my MPhil (Computer Science) in and
BSc (Social Science & Computer Science) in the same university.
When I'm not working, I enjoy human-nature interaction (i.e., hiking) in Hong Kong. I'm also passionate about Karate, a sport that teaches me to be patient and resilient.
Human–AI creativity
I also build interactive tools and generative models for visual expression, from image editing to cinematic worlds.
Intent & control
Worlds & narratives
Media & expression
GWalkR brings interactive, Tableau-style visual exploration to R. Starting from a data frame, users can explore their data with a single line of code, then embed the interactive view in R Markdown to share both results and the exploration behind them.
The two datasets are China Government Employee Dataset-Qing Jinshenlu (CGED-Q JSL) processed with our record-linkage and title-parsing methods. Person identifiers connect observations of the same official across records; parsed titles distinguish office, additional title, and eligibility. Both files are available in the public CGED-Q release · v12.
Using the open datasets, we can study the social mobility of premodern Chinese elites across 1850–1864.
Computational social science
How is opportunity
socially organized?
I study how institutions and social networks shape careers and the allocation of opportunity, using computational methods and historical and contemporary data.
Research questions & papers
Encounters
Who gets to meet whom?
Careers
How does advantage accumulate over a career?
Generations
What carries across generations?
Reconstructing family histories from Chinese genealogies
Ongoing