Abdoul Rachid Ouédraogo (韋正)

Applied AI Researcher @ Taiwan Polar Institute · Adjunct Instructor @ FCU · Founder of POUK YAM

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I build AI for science: physics-informed machine learning, agentic AI, and the tested software that ships it. My depth is in hydrogeology and groundwater modeling, which I use as a proving ground for honest, reproducible scientific ML. I also teach numerical methods at Feng Chia University.

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🚀 Featured projects

HydroPhysicsAI GPU physics-informed neural operators for groundwater, one model across 61 wells. One attribute-conditioned operator vs 61 hand-calibrated ODEs Generalizes to unseen wells: leave-one-well-out KGE 0.565 (climatology 0.446, in-sample 0.591) Forecast LSTM beats persistence at 7 & 30 days, calibrated intervals 14× GPU speedup (CUDA, bf16) · NVIDIA PhysicsNeMo port	AquaScope Open-source Python toolkit that unifies global water data under one API. 15 collectors: USGS, FAO, GEMStat, EU WFD, and more 26 methodologies + an agentic AI engine (7 pipelines) Bulletin 17C flood frequency, FAO-56 ET, CAMELS-validated 500+ tests, Python 3.10+
Agronaut Tool-calling aquaponics agent over a deterministic, tested, cited engineering core. LLM collects and routes; a verifiable engine does the math Cross-session memory + a deep troubleshooting knowledge base Calibrated on real-pond data; design & optimize need no LLM Runs as Streamlit or a Telegram agent; Ollama · NVIDIA · HF	paper-agent Claude Code plugin that turns the agent into a disciplined manuscript collaborator. Five modes: draft, review, revise, proofread, audit Semantic Scholar MCP citations (no API key), anti-fabrication guardrails Hydrology (HJ, JHRS) + IEEE + a generic quantitative-science profile Clean .docx round-trip; bundled try-it demos

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🔬 Research interests

Physics-informed & scientific ML · Agentic AI for science · Groundwater modeling & hydrogeology · Numerical methods & scientific computing · Sustainable water resources

🛠️ Tech stack

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📌 Recent work

• 🧠 HydroPhysicsAI: GPU physics-informed neural operators benchmarked against per-well gray-box ODEs, with a live demo and an honest, reproducible benchmark harness
• 🤖 paper-agent: packaged as a Claude Code plugin (v1.5.0) — draft/review/revise/proofread/audit manuscripts with Semantic Scholar MCP citation integrity, now broadened from hydrology to IEEE and a generic quantitative-science profile
• 🌱 Agronaut: tool-calling aquaponics agent over a deterministic, cited engineering core, with cross-session memory and a troubleshooting knowledge base
• 📄 Hydrogeology Journal accepted manuscript on gray-box groundwater modeling for the Zhuoshui Alluvial Fan, Taiwan
• 📚 Publications & patent: 4 peer-reviewed papers (3 SCIE-indexed, incl. Hydrogeology Journal 2026) · granted Taiwan patent M661364
• 📊 aquascope-demos: real-world reproducible demo cases on public hydrology datasets
• 🎓 Numerical Analysis with Python, graduate course taught at Feng Chia University
• 💼 POUK_YAM, consulting and software at the intersection of scientific computing and agentic AI

🎓 Background

• Ph.D., Infrastructure Planning & Engineering (groundwater modeling & hydrogeology), Feng Chia University, Taiwan · 2023
• M.S., Water Resources Engineering & Conservation, Feng Chia University, Taiwan · 2019
• Undergraduate, 2iE (Institut International d'Ingénierie de l'Eau et de l'Environnement), Ouagadougou, Burkina Faso

🌐 Multilingual: French (native) · English (advanced) · Mandarin (working proficiency)

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📈 GitHub activity

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_{Building AI for science · Taichung, Taiwan}