Summary
Joyce Xu is an engineer with 11 years of experience building data-driven systems at the intersection of urban planning, machine learning, and geospatial infrastructure. Currently at Paces, she focuses on forecasting regulatory risk, interconnection opportunities, and localized land-use patterns to accelerate renewable infrastructure development. Previously she led technical work at Replica, designing scalable data engineering platforms (Dask, Prefect, Kubernetes) and steering land-use and scenario-planning R&D for city-scale simulation products used by agencies like the MTA. Her background spans research internships at DeepMind and Stanford NLP, applied ML in industry, and systems work on high-throughput sensor platforms, reflecting a rare blend of ML research and production-grade engineering. She brings a practical curiosity for modeling complex spatial and social systems and a track record of turning research ideas into operational tools for urban decision-makers.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Stanford University
English, Chinese, French