With an academic background in Mathematics and Data Science, I focus on quantitative research at the intersection of financial markets, statistical learning, and AI. My work emphasizes rigorous empirical analysis, reproducible research systems, and the development of intelligent tools that turn complex data into testable insights.
M.S. Data Science and Engineering @ NYCU
- Taipei, Taiwan
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12:21
(UTC +08:00) - https://allenchenhan99.github.io/website/
- in/chen-han-lin-488492344
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Options-Research-Lab
Options-Research-Lab PublicLearning-first options pricing, Greeks, volatility surface, hedging, and market microstructure research lab.
TypeScript
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Factor-Alpha-Decay-Estimation
Factor-Alpha-Decay-Estimation PublicA systematic research framework for studying factor IC decay, market regimes, crowding signals, and out-of-sample factor timing.
Python
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Query-Gate
Query-Gate PublicA semantic routing microservice for directing AI queries across fast and slow inference paths with batching, caching, and load-aware decisions.
Python
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