Visual Analytics

Texas A&M Transportation Institute
1111 RELLIS Parkway
Bryan, TX 77807
(512) 407-1163
[email protected]

Yuhan Gao is a Software Application Developer at the Texas A&M Transportation Institute (TTI), where she works in the Visual Analytics Program. Her work focuses on building interactive visualization systems, analytical tools, and data pipelines that transform complex transportation data into accessible, decision-ready insights.

She holds an M.S. and dual B.S. degrees in Computer Science and Mathematics from The University of Texas at Austin, all completed in 2024. With a strong foundation in software engineering and data science, Gao develops applications that bridge research and technology—integrating scalable backend systems, modern web frameworks, and geospatial data processing techniques to support transportation analytics and performance measurement.

At TTI, Gao contributes to projects involving real-time data visualization, multimodal mobility analysis, and web-based analytical dashboards for transportation researchers and public agencies. Her technical skill set includes Python, Java, JavaScript, React, Node.js, SQL, and a range of geospatial and visualization libraries such as D3.js, Leaflet, and Deck.gl. She is particularly interested in leveraging modern computing tools—such as cloud platforms, containerized services, and AI-assisted analytics—to enhance the interactivity and scalability of visual data systems.

Beyond software development, she is passionate about creating transparent, data-driven tools that improve how transportation data is understood and used by researchers, planners, and policymakers. Her current focus is on developing modular, open-source visualization frameworks that can adapt to diverse datasets and analytical needs across TTI’s research programs.