Postdoctoral Researcher @ NCU · Adjunct Instructor @ FCU · Founder of POUK_YAM
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.
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Open-source Python toolkit that unifies global water data under one API.
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GPU physics-informed neural operators for groundwater, one model across 61 wells.
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Groundwater modeling & hydrogeology · Physics-informed & gray-box ML · Sustainable water resources · Agentic AI for science · Numerical methods & scientific computing
- 📄 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
- 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)


