Dan Song is a Ph.D. candidate in Educational Measurement and Statistics at the University of Iowa. She holds three master's degrees in Multilingual Education, Bilingual Education, and Teaching Chinese to Speakers of Other Languages.

With a background in language teaching and assessment, Dan developed a strong interest in how students' language abilities are evaluated. Her work as an educator and language assessment specialist inspired her to pursue doctoral research in educational measurement.

Her research focuses on artificial intelligence in education, automated scoring, and the reliability, validity, and fairness of educational assessments. Her work examines how AI systems evaluate student writing and speaking performance and how human and AI judgments can be combined to improve scoring dependability. Her research has been published in journals including Language Learning & Technology, International Journal of Testing, and Educational Measurement: Issues and Practice.

Through her research, Dan hopes to advance the responsible use of AI in educational assessment and promote fair and trustworthy scoring practices for students.

Outside of research, Dan enjoys spending time with her family and practicing Tai Chi.