Yangxinyu Xie
Quantitative Researcher
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolYangxinyu Xie is a quantitative researcher and PhD candidate in Statistics at the University of Pennsylvania with eight years of experience applying data science to real-world problems. Now at Jump Trading, she combines rigorous statistical modeling with domain knowledge from research stints at Argonne National Laboratory and public-health-oriented training to tackle high-stakes, data-driven decisions. Her background spans mathematics, computer science, and applied statistics (BS/MS/PhD), enabling fluency across theory, scalable implementation, and interpretation for nontechnical stakeholders. She has practical software engineering experience from industry internships and fellowship roles, which helps her translate complex models into reproducible code and production-ready analyses. Passionate about social impact, she actively seeks interdisciplinary collaborations that bring statistical innovation to policy and health challenges. Colleagues describe her as a bridge between academic rigor and industry pragmatism, often spotting practical uses for advanced methods that others overlook.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at College of Natural Sciences, The University of Texas at AustinDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Pennsylvania
Github Skills (13)
watermark5
spatial3
gnn-model1
attention-mechanism1
tsne1
statistics1
machine-learning1
reduction1
random-forest1
factorization1
dimension-reduction1
data-science1
llm1
Programming languages (4)
Github contributions (5)
Xieyangxinyu/SwimmingPool
Nov 2017 - Dec 2018
Contributions:5 PRs, 34 pushes, 3 branches in 1 year 1 month
Xieyangxinyu/vie
Feb 2023 - May 2024
A package to estimate variable importance
Contributions:64 pushes in 1 year 3 months
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