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Y36366363/README.md

Jialiang Yao

Master’s Student at the University of North Carolina at Chapel Hill

Statistical inference · AI-agent evaluation · Simulation · Human-centered decision support

Academic Website · LinkedIn · Email

About

I am a master’s student in Statistics, Analytics, and Data Science at UNC–Chapel Hill. My interests lie at the intersection of statistical methodology, evaluation of interactive AI systems, agent-based simulation, and human decision-making.

I build research systems that emphasize transparent assumptions, auditable evaluation, and reproducible computational experiments.

Current Research

  • Poker decision support and skill development — an ongoing collaboration with UNC faculty investigating how analytical and AI-assisted tools may help people improve decision-making skills.

  • Robust-reference divergence profiles — independent methodological research on statistical sensitivity analysis, experimental validation, and reproducible manuscript development.

Selected Projects

Project Focus Current stage
Asymmetric Information Puzzles Strategic AI evaluation and cross-game transfer Active research
Population Sandbox Housing, childcare, and fertility with household simulation Research scoping
Psycho Agent Safety-bounded human–AI support with synthetic evaluation Exploratory research
Mahjong Card Reader Multilingual Riichi Mahjong analysis, scoring, and gameplay Engineering showcase
Shizhi Cooking Agent Constraint-aware bilingual cooking assistance for induction-hob beginners Engineering prototype
C-Delta Simulation Robust-reference divergence profiles and statistical sensitivity analysis Manuscript development

More detailed project descriptions and demos are available on my project portfolio.

Publication

Yang Zhu, Wenxi Wang, Tinglong Chen, Ruiwen Liu, Jialiang Yao, et al. “Evolving dynamics of tuberculosis and emerging HIV co-infection in China: Age-period-cohort analysis and projections to 2035.” Journal of Infection and Public Health, 19(6), 103236, 2026.

Paper · PubMed

Research Interests

  • Statistical inference and sensitivity analysis
  • Evaluation of strategic and interactive AI agents
  • Agent-based and population simulation
  • Human-centered decision support
  • Reproducible computational research

Contact

I welcome conversations about research collaboration and doctoral study in statistics, computational social science, AI-agent evaluation, and human–AI decision-making.

Email: jlyao@unc.edu

Pinned Loading

  1. Asymmetric_Information_Puzzles Asymmetric_Information_Puzzles Public

    Strategic AI evaluation and cross-game transfer in imperfect-information games

    Python

  2. Population_simu Population_simu Public

    Housing, childcare, and fertility research with household simulation

    Python

  3. Psycho_Agent Psycho_Agent Public

    Safety-bounded human–AI support research with synthetic evaluation

    Python

  4. Mahjong_card_reader Mahjong_card_reader Public

    Multilingual Riichi Mahjong toolkit with hand analysis, scoring, and playable interfaces.

    Python

  5. Cooking_Starter Cooking_Starter Public

    Bilingual, constraint-aware cooking agent for induction-hob beginners

    TypeScript

  6. News_fetching News_fetching Public

    Python 1