Po-lung Wang

Data Scientist For Anti-Money Laundary And Legal Compliance

New Taipei, Taiwan
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Summary

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Senior
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Top School
Po-lung Wang is a Taiwan-trained lawyer turned data scientist with nine years of experience applying legal expertise to anti-money laundering and compliance analytics at Yuanta Financial Holdings and 元大金控. He blends a legal background from National Taiwan University and courtroom experience with doctoral-level study in information technology to translate regulatory requirements into data-driven solutions. Previously an employed lawyer and legal researcher, he has built interdisciplinary skills in AI, deep learning, and compliance automation. Po-lung is pursuing ambitious research goals—interested in value-function-free reinforcement learning—while shipping practical models for financial crime detection. Based in New Taipei, he uniquely bridges legalese and code, enabling auditable, defensible ML pipelines for high-stakes regulatory environments. A detail that surprises many: despite his law-first training he contributes actively to AI research directions on GitHub, reflecting a rare crossover of law, energy policy, and machine learning.
code9 years of coding experience
job4 years of employment as a software developer
bookDoctor's Degree, Information Technology, Doctor's Degree, Information Technology at National Taiwan University
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Github Skills (23)

text-to-speech10
reinforcement-learning9
chatgpt9
python9
stable-diffusion9
diffusion-models9
fine-tuning9
ai9
agent9
image-generation9
openai9
llama8
llm8
gemma7
minimax6

Programming languages (1)

Python

Github contributions (5)

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A simple model-free and value-function-free reinforcement learning model
Contributions:11 PRs, 926 pushes, 32 branches in 1 year 9 months
reinforcement-learningdeep-learningmodel-free-rlvalue-function-free-rl
Contributions:24 commits, 2 PRs, 22 pushes in 7 months
deep-learningneural-networksmachine-learninggame-theoryneural-network
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