Jiani (Jenny) Li is a highly skilled professional with extensive experience in quantitative research, software engineering, and machine learning. Currently pursuing a Master of Science in Financial Mathematics at the University of Chicago, Jiani has previously held positions such as Research Assistant at The University of Chicago Booth School of Business and Quantitative Research Intern at China International Capital Corp and Shanghai Chenyu Fund Management Co., Ltd. Notable contributions include developing a high-performance Alpha factor computation framework, optimizing AI-based pest monitoring systems, and leading projects in machine learning for volatility prediction. Jiani possesses a Bachelor's degree in Computer Science from the University of Michigan and a Bachelor of Science in Statistics from UC Santa Barbara, demonstrating a solid foundation in both technical and analytical skills across various domains.
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