Summary
Yamei Chen is a research-focused software engineer and master's student in computer science at TUM with eight years of interdisciplinary experience spanning NLP, financial engineering, and applied physics. She has built Chinese short-story generation benchmarks and experimented with state-of-the-art NLG models (T5, GPT-3, transformers) while also developing production data pipelines and ML models for financial prediction using scikit-learn, TensorFlow, and PyTorch. Her background in nuclear engineering and early work on neutron scattering bring a strong quantitative and experimental mindset to her ML research. Currently based in Hong Kong, she has held research roles at institutions including Tsinghua, Max Planck Institute, Westlate University, and The Chinese University of Hong Kong, blending academic rigor with real-world engineering. Notably, she bridges domain knowledge and tooling—turning linguistic benchmarks into reproducible evaluation datasets and shipping data-driven models for finance.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Technical University of Munich
Bachelor of Engineering - BE, Nuclear Engineering and Technology, Bachelor of Engineering - BE, Nuclear Engineering and Technology at Tsinghua University
Japanese, German