Yangshuang Xu
Artificial Intelligence Researcher @Railab
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WORK HISTORY
Artificial Intelligence Researcher @Railab
Tallahassee, FL, US
Developed statistical models for large-scale spatiotemporal data analysis, integrating heterogeneous data sources to support predictive modeling and pattern discovery.Implemented machine learning pipelines including deep learning models and gradient-boosting algorithms for high-resolution predictive inference.Designed scalable statistical workflows for density estimation, clustering, and anomaly detection in large structured datasets.Built data pipelines supporting real-time predictive inference and large-scale data integration.
EDUCATION
Florida State University
Doctor of Philosophy - PhD, Statistics
Shanghai Lixin University of Accounting and Finance
Bachelor's degree, Actuarial Science
North Dakota State University
Master's degree, Statistics
ABOUT YANGSHUANG XU
As a PhD candidate in Statistics at Florida State University, I am focused on developing advanced machine learning and artificial intelligence methodologies for analyzing multifaceted spatiotemporal and biomedical data. My academic foundation includes a Master\'s degree in Statistics from North Dakota State University and a Bachelor\'s degree in Actuarial Science from Shanghai Lixin University of Accounting and Finance. My current roles as a Research Assistant at Florida State University and Artificial Intelligence Researcher at RAI Lab involve designing scalable statistical workflows, building ML pipelines, and integrating spatiotemporal datasets for predictive modeling. I am passionate about leveraging AI, PyTorch, and transformers to create impactful solutions in the fields of biomedical data analysis and real-world scientific applications.
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