Bangwei Xu

About Bangwei Xu

I am a data science and applied statistics graduate student at Cornell University with a strong background in mathematics and computational methods from the University of Washington. My experience spans quantitative finance, energy optimization, and machine learning research, where I have applied advanced statistical and AI techniques to real-world problems.Previously, I worked as a Quantitative Analyst Intern at UBS, where I accelerated risk model pipelines, built AI-driven trade surveillance prototypes, and enhanced rate-curve forecasting accuracy.I am skilled in Python, R, SQL, SAS, and Tableau, with experience in deep learning, natural language processing, and big data analytics. Passionate about leveraging data-driven insights, I am eager to contribute to innovative projects in quantitative research, data science, and AI applications.Website: https://xubangwei243-collab.github.io/Bangwei.github.io/

Experience

1. Data Analyst

   Ursa Space Systems

   Jan 2026 — Present · Ithaca, NY, US

   Conducted exploratory research on geospatial foundation models to evaluate what large self-supervised embeddings learn beyond traditional supervised approaches in remote sensing.Worked with Google AlphaEarth satellite embedding datasets to analyze whether multi-modal foundation model features can reconstruct Synthetic Aperture Radar (SAR) imagery at the pixel level, assessing strengths and limitations of emerging geospatial AI methodologies.Performed large-scale raster data engineering, including alignment, reprojection, and integration of multi-source satellite imagery (Google AlphaEarth, Umbra SAR, ESA Sentinel-1).Designed and executed creative exploratory data analysis (EDA) on small numbers of extremely large satellite images (>1GB per image), emphasizing interpretability and visualization.

Education

• Cornell University

  Master's degree, Applied Statistics

  2025 — 2027

• University of Washington

  Bachelor of Science - BS, Math

  2022 — 2025