My name is Yang and I am a Meteo Data Engineer 
| Machine Learning Researcher 
| Energy Meteorologist 🌤️ | Coding Nerd 
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I work at the intersection of AI, weather & climate, and energy systems. My toolbox spans machine learning & data science, software engineering, high-performance computing, cloud & big-data management, and energy meteorology/forecasting.
I love turning messy real-world data into reliable models and products, especially when they help systems become cleaner, smarter, and more resilient.
©️ Click these badges if you want to know more about me! ®️
Most days I am busy writing code, fixing data pipelines, tuning models, or chasing down weather-energy puzzles 🔧 💦 ⭐ 🔨 💢 ✨ 💥 💡 ⌛
Instead of a long talk, here are a few projects/software I’m especially proud of:
, but here are some projects/software that he is very proud of:
- DIANNA 🔍 Software for post-hoc explainability of deep neural networks for scientists.
- AI4S2S ☀️ Integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting.
- EUCP ❄️ European Climate Prediction project.
- EcoExtreML 🌿 Accelerating process understanding for ecosystem functioning under extreme climates.
- Excited 🏔️ Global net ecosystem CO2 exchange fluxes estimation with machine learning.