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

Email GitHub CoPaper.AI

Stanford REAP Agent-native research Causal inference/Agentic AI

Featured Work

stata-code

stata-code stars stata-code forks PyPI Focus 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 stars StatsPAI forks PyPI

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 stars Auto Empirical Research Skills forks Skills

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

Founder AI 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

Python Causal inference Applied econometrics Research agents Reproducibility

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. StatsPAI StatsPAI Public

    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 258 48

  2. Auto-Empirical-Research-Skills Auto-Empirical-Research-Skills Public

    🔬 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 2.5k 335

  3. stata-code stata-code Public

    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 15 2

  4. Awesome-Journal-Skills Awesome-Journal-Skills Public

    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 552 76

  5. AER-Skills AER-Skills Public

    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 21 5

  6. Paper-WorkFlow Paper-WorkFlow Public

    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 7