Welcome to my website!
My name is Pingfan Hu, a PhD candidate in Systems Engineering at George Washington University, advised by Professor John Helveston. My work focuses on data science, quantitative modeling, and software development for human behavior and sustainable transportation. I develop open-source software for survey design and discrete choice modeling, and build full-stack research applications with , Python, Quarto, Shiny, and PostgreSQL. I also apply agentic AI engineering to design and deploy LLM-powered workflows that automate complex research and development tasks.
Research Focus:
- Open-Source Software: I develop open-source tools for survey research, including surveydown, a programmable, markdown-based survey platform built on Quarto, Shiny, and PostgreSQL, and its companion GUI sdstudio.
- Transportation Research: I study human behavior in sustainable transportation using discrete choice models, focusing on smart charging adoption and economy to inform policymakers and utilities.
- Agentic AI Engineering: I build reproducible workflows around Claude Code with plugins, skills, MCPs, and hooks. I document the tutorials and my own workflows in my blog, and run a workshop on GW TAI for researchers and developers.