I build governed LLM-agent frameworks coupled with living environments. My PhD integrates LLM-driven agents into flood-adaptation simulations grounded in real household data — each agent perceives → reasons → is verified by a harness → acts, talks to its neighbours, and co-evolves with a physically-based water system.
Broader AI interests: quantifying decision-making with LLMs · agentic workflows · multi-agent collaboration · AI tooling for research. I ship the infrastructure I use day-to-day as open-source Claude Code skills, MCPs, and plugins.
| FLOODABM | Agent-based model coupled with catastrophe flood modeling — household flood adaptation in the Passaic River Basin (NJ, 2011–2023) |
LLM Agents · AI Harness / Governed Agents · Agent-Based Modeling · Multi-Agent Systems · Catastrophe Modeling · Decision-Making Under Risk · Human-Environment Interaction
- Leveraging Large Language Models for Agent-Based Simulation of Human-Water System Interactions — Water Resources Research, 62(6), e2025WR042111 (2026) · DOI
10.1029/2025WR042111
| ai-research-skills | 5 plugins · 14 research skills · install in one command |
| agent-collab-skills | Multi-agent orchestration — task splitter, output reconciler, debate, shared memory, acceptance gate |
| zotero-skills | Programmatic Zotero CRUD — search, add, classify, annotate, organize literature |
| research-hub | AI-operable research workspace for Zotero, Obsidian, and NotebookLM — CLI, MCP, REST, dashboard |
| codex-delegate · gemini-delegate-skill | Single-agent delegation skills used by the marketplaces above |
| awesome-agentic-ai-zh |  7-stage agentic-AI roadmap · trilingual (繁中 canonical / 简中 / EN) · 240+ curated resources, from LLM basics to multi-agent production |
- Personal site (EN / 繁中) — wenyuchiou.github.io
- Lab — Complex Adaptive Water Systems (CAWS) · Center — Catastrophe Modeling & Resilience
- Contact — wec324@lehigh.edu · LinkedIn · ORCID
perceive → reason → verify → act · repeat