Xiao Yu is an equity research associate and dual-degree MFE candidate at Tsinghua and UC Berkeley with a decade of experience blending fundamental TMT research and quantitative analysis. Based in Berkeley, she has supported portfolio construction at Bank of America, led AI- and software-focused equity research at China Asset Management, and produced comparative work on Google vs. Microsoft in generative AI strategy. Her background in industrial engineering with a computer science minor and internships in data science at Nike give her a practical edge in translating technical product dynamics into investment insight. Actively targeting roles in equity research and “quantamental” investing, she brings both rigorous financial training and hands-on AI research experience to bridge model-driven and fundamental approaches.
10 years of coding experience
1 year of employment as a software developer
Master's degree Financial Engineering, Master's degree Financial Engineering at University of California, Berkeley, Haas School of Business
Master of Arts - MA Finance, Master of Arts - MA Finance at Tsinghua University
Bachelor of Engineering - BE Industrial Engineering Minor in Computer Science, Bachelor of Engineering - BE Industrial Engineering Minor in Computer Science at Shanghai Jiao Tong University
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