Hello, I'm —

Jialing Wu

I am a Ph.D. student in Engineering Education (minor in Computer Science & Engineering, AI track) at The Ohio State University, advised by Dr. Adam Carberry. Before entering academia, I spent five years as a consultant in education sector, recruiting for international schools and K-12 organizations — work that gave me a front-row view of who gets access to quality education and who gets left behind. That question brought me to research.

My research focuses on pre-college engineering education, AI policy in K-12, and international engineering education. I draw on computational social science methods — including NLP, GIS, network analysis, and LLM-based approaches — alongside mixed-methods designs. I am currently a Graduate Research Assistant on the NSF-funded e4usa+FIRST project. I believe technology should serve as a bridge, not a barrier, to educational opportunity.

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Be humble, be confident.

Education

The Ohio State University

Ph.D. Engineering Education · 2024–2028

Vanderbilt University

M.Ed. Intl. Education Policy · 2022–2024

Shanghai University

B.E. Mechanical Engineering · 2013–2017

Research

For Researchers

Applying computational social science methods — NLP, GIS, network analysis, and LLM-based approaches — to engineering and STEM education research.

→ methods

For Faculty

Studying how educators implement pre-college engineering curricula, and exploring ways to integrate AI into equitable teaching practices.

→ practice

For Students

Examining student experiences in engineering education — centering equity and access — with the goal of making AI learning meaningful for all, not just CS majors.

→ access