Summary
Xiaohan Ding is a Ph.D. candidate in Computer Science with a decade of experience bridging computer vision research and technology-enhanced learning. Currently a Graduate Research Assistant at Virginia Tech, she combines deep research from Tsinghua and George Mason with practical instructional technology work that focuses on accessibility and scalable digital pedagogy. Her background includes NLP and blockchain-backed student systems, reflecting a willingness to apply research ideas to real-world education problems. Xiaohan has rotated through research and teaching assistant roles, contributing to lab projects and faculty workshops that translate emerging trends into classroom practice. Based in Beijing and with international training, she brings a global perspective to collaborative research in vision and learning technologies. Her profile hints at an engineer who values both rigorous research and the pragmatic deployment of tech to increase educational accessibility.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Virginia Tech
Research Assistant, Research Assistant at The Chinese University of Hong Kong, Shenzhen 香港中文大学(深圳)
Master of Science - MS, Computer Science, GPA: 3.67, Master of Science - MS, Computer Science, GPA: 3.67 at George Mason University