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Songze (Victor) Li

MLE|Quant|Venture Fellow @ Spike Ventures

Songze (Victor) Li is a professional with a strong focus on researching the power of model-driven and data-driven approaches for scientific computing, quantitative investment, and data science applications. He brings a diverse educational background, having pursued a Master of Science in Computational and Mathematical Engineering at Stanford University, a Ph.D. Candidate in Applied Mathematics at Beihang University, an exchange program in Industrial Design & Marketing at Politecnico di Milano, and a Bachelor of Engineering in Aerospace Engineering from Beihang University. Victor has a wealth of industry experience across various organizations, including roles as a former Software Engineer in Machine Learning Infra at DoorDash, Venture Fellow at Spike Ventures, Senior Machine Learning Engineer at Earnin, Data Scientist Intern focusing on Machine Learning in the CTO Office at Veritas Technologies LLC, Quantitative Researcher Intern at J.P. Morgan, Quantitative Researcher Intern working on Risks and Strategies at LianHai Capital Asset Management, LLC, and as a Quantitative Researcher at a Prop Trading Firm.

Songze (Victor) Li
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Location

Stanford, California, United States