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Rekin226/README.md

Abdoul Rachid Ouédraogo (韋正)

Typing SVG

Postdoctoral Researcher @ NCU · Adjunct Instructor @ FCU · Founder of POUK_YAM

ORCID Google Scholar LinkedIn Location


I build open-source tools that turn messy global water data into reproducible science, and I research how physics-informed and agentic AI can model groundwater systems honestly. I work across hydrogeology, scientific computing, and machine learning, and I teach numerical methods at Feng Chia University.


🌊 Featured projects

Python Open Source

Open-source Python toolkit that unifies global water data under one API.

  • 12 collectors: USGS, FAO, GEMStat, EU WFD, and more
  • Bulletin 17C flood-frequency analysis
  • FAO-56 evapotranspiration
  • AI methodology recommender

Support on Ko-fi

PyTorch CUDA

GPU physics-informed neural operators for groundwater, one model across 61 wells.

  • One attribute-conditioned operator vs 61 hand-calibrated ODEs
  • 14× GPU training speedup (mixed precision, CUDA)
  • 7-day forecast KGE 0.965, 30-day 0.899
  • NVIDIA PhysicsNeMo port, identical skill

Live demo


🔬 Research interests

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

🛠️ Tech stack

tech stack


📌 Recent work

  • 📄 Hydrogeology Journal accepted manuscript on gray-box groundwater modeling for the Zhuoshui Alluvial Fan, Taiwan
  • 🧠 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: Claude Code skill suite for hydrology manuscript workflows (Draft, Review, Revise, Proofread, Audit)
  • 📊 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

  • PhD, Hydrogeology and Groundwater Modeling, Feng Chia University, Taiwan
  • MSc, Hydrogeology, Feng Chia University, Taiwan
  • Undergraduate, 2iE (Institut International d'Ingénierie de l'Eau et de l'Environnement), Ouagadougou, Burkina Faso

🌐 Multilingual: English, French, Mandarin (intermediate)


📈 GitHub activity

stats top langs streak trophies

POUK_YAM AquaScope

Building open tools for water research · Taichung, Taiwan

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  1. aquascope aquascope Public

    Open-source Python toolkit for water data, hydrology, and agricultural water management — 12 unified collectors (USGS, FAO, GEMStat, EU WFD…), Bulletin 17C flood frequency, FAO-56 ET₀, and an AI me…

    Python 7 6

  2. paper-agent paper-agent Public

    Claude Code skill for drafting, reviewing, revising, proofreading, and auditing scientific manuscripts. Calibrated for hydrology (Hydrogeology Journal, JHRS); extensible to other quantitative-scien…

    5 2

  3. aquascope-demos aquascope-demos Public

    Real-world hydrology demo cases for AquaScope. Self-contained reproducible Jupyter notebooks with every headline result checked against a published reference.

    Jupyter Notebook

  4. HydroPhysicsAI HydroPhysicsAI Public

    GPU physics-informed neural operators for groundwater, benchmarked against per-well gray-box ODEs (PyTorch / PhysicsNeMo / CUDA)

    Python

  5. groundwater-prediction-graybox-model groundwater-prediction-graybox-model Public

    Gray-box modeling workflow for groundwater level prediction in the Zhuoshui Alluvial Fan, Taiwan. Companion code to a Hydrogeology Journal manuscript.

    Python

  6. Agronaut Agronaut Public

    AI-powered conversational assistant for aquaponics. Streamlit UI, FAISS semantic search, sentence-transformer embeddings, and web-scraped knowledge base.

    Python