Xinle Liu is a software engineer with seven years of experience combining academic rigor from a PhD at the University of Pennsylvania and a strong quantitative background in chemical physics. He moved from algorithmic trading and quantitative research at J.P. Morgan—where he handled equities-focused linear models and held Series 7/63 certifications—into research-oriented engineering at Google. Xinle excels at turning complex mathematical and statistical problems into reliable software, bridging research prototypes and production-grade systems. Based in Philadelphia, he brings both finance-grade risk awareness and Google-scale engineering practices to product challenges. A detail that sets him apart is the pathway from hard-science undergrad training to applied quant trading and then to large-scale research engineering, reflecting versatility across domains and technical depth.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Science (BS) Chemical Physics, Bachelor of Science (BS) Chemical Physics at University of Science and Technology of China
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Pennsylvania
A library for training and deploying machine learning models on Amazon SageMaker
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