Xinyu Wang
PhD Researcher at New York University
Newark, Delaware, United States
Summary
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Senior🎓
Top SchoolXinyu Wang is a PhD researcher in statistics and data science with 11 years of quantitative experience spanning biostatistics, NLP, deep learning, and quantitative finance. Trained at NYU and now at the University of Delaware, Xinyu combines rigorous statistical methodology with practical ML deployment—having built and deployed NLP models on AWS, optimized LLM pipelines, and delivered production-facing features for education products. Past roles include AI engineering, data science internships, and biostatistics consulting for clinical studies, demonstrating an ability to move from research to impact in healthcare and industry. Notably, they improved hate-speech detection from ROC-AUC 0.87 to 0.93 by integrating BERT and tackled large-scale data problems (100K+ rows) with clear documentation and deployment. Xinyu is equally comfortable designing recommendation systems, developing optimization algorithms, and teaching machine learning for public health, making them a strong candidate for data scientist roles that bridge research and production.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Financial Mathematics, Bachelor of Science - BS, Financial Mathematics at University of LiverpoolMaster of Science - MS, Biostatistics, Master of Science - MS, Biostatistics at New York UniversityDoctor of Philosophy - PhD, Statistics Data Science, Doctor of Philosophy - PhD, Statistics Data Science at University of DelawareGithub contributions (5)
lllinden/PM2.5_NY
Mar 2015 - Jul 2015
Contributions:28 pushes, 1 branch in 3 months
NYU-CS6313-Projects/DecisionTreeVisualization
Apr 2015 - May 2015
Contributions:40 commits, 25 pushes, 1 comment in 29 days
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