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    brycewang-stanford/README.md
    Bryce Wang | Agent-native infrastructure for empirical researchResearch focus

    EmailGitHubCoPaper.AI

    Stanford REAPAgent-native researchCausal inference/Agentic AI

    Featured Work

    stata-code

    stata-code starsstata-code forksPyPIFocus project

    Agent-native Stata bridge: one Python core, multiple frontends.

    • Drive Stata from LLM agents, MCP clients, and Jupyter notebooks
    • Stable v1.0 result schema with typed errors, refs, and structured returns
    • MIT-licensed bridge for Stata 17+ and Python 3.10+
    pip install stata-code

    StatsPAI

    StatsPAI starsStatsPAI forksPyPI

    Agent-native Python platform for causal inference and applied econometrics.

    • 800+ functions behind one unified API
    • Structured result objects and machine-readable schemas
    • R/Stata parity validation for empirical workflows
    pip install statspai

    Auto Empirical Research Skills

    Auto Empirical Research Skills starsAuto Empirical Research Skills forksSkills

    Curated skill library for empirical research agents.

    • 23,000+ skills across 8 social science disciplines
    • Research flow coverage from data to manuscript
    • Maintained as a practical resource for agent workflows

    Product

    CoPaper.AI

    FounderAI research co-author

    From raw data to publishable manuscript. CoPaper.AI helps researchers move through analysis, reproducibility, and writing with an agent-native workflow.

    Research Stack

    PythonCausal inferenceApplied econometricsResearch agentsReproducibility

    Current Focus

    Agent-native APIs
    Research methods exposed through structured schemas that agents can call reliably.     		Empirical automation
    Workflows that compress the path from dataset to validated statistical output.     		Reproducible writing
    Systems that connect analysis, evidence, and manuscript generation.

    Pinned Loading

    1. StatsPAIStatsPAIPublic

      StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skil…

      Python 297 63

    2. Auto-Empirical-Research-SkillsAuto-Empirical-Research-SkillsPublic

      🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文，并支持用户上传 Skills。-- …

      Stata 3.4k 443

    3. stata-codestata-codePublic

      Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with StatsPAI cross-validati…

      Python 36 5

    4. Awesome-Journal-SkillsAwesome-Journal-SkillsPublic

      Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能…

      Stata 980 126

    5. AER-SkillsAER-SkillsPublic

      Agent skills that help you publish in the AER faster — identification-first empirics, AEA-compliant replication, Keith-Head intros, R&R rebuttals for AER / AER:Insights / AEJ. | 助你更快发表 AER 论文的 agen…

      Python 43 8

    6. Paper-WorkFlowPaper-WorkFlowPublic

      经管/社科实证论文 · 从一句话 idea 到可投稿全文的 AI 全流程总编排器 — an end-to-end meta-orchestrator that turns a research idea into a submission-ready empirical paper.

      Python 23 4