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Wang Ye

turning state-of-the-art machine learning algorithms into monetization system

Wang Ye is an experienced quantitative researcher with a strong background in the financial services industry.

He excels in Machine Learning, Statistical Modeling, and programming languages including Python, C/C++, Java, C#, and Matlab.

Wang Ye holds a PhD in Quantum Photonics from Northwestern University, showcasing his dedication to advanced research.

His educational journey includes a Bachelor of Engineering in Information Technology from Zhejiang University.

Having worked at Superluminance Investment and Gelber Group LLC, Wang Ye has profound experience in quantitative trading.

He also interned as a Quantitative Research Intern at Marquette Partners, further enriching his expertise in the field.

Wang Ye
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Location

Chicago, Illinois