Summary
Kesong Cao is a graduate research assistant and PhD student in Psychology at UW–Madison who blends cognitive science with machine learning to study language, decision-making, and human–machine teaming. With eight years of software and research experience, he has built production-facing front-end systems used by over 40,000 students and developed research tools for semantic network estimation and QA pipelines. He teaches data science workshops and has supported large introductory courses, demonstrating an ability to communicate technical ideas to diverse audiences. His background spans a CS MS and BA plus hands-on roles at DoIT and the Santa Fe Institute, reflecting both engineering rigor and interdisciplinary curiosity. Currently he contributes to human–machine teaming research at Austerweil Lab, where he leverages PyTorch and psycholinguistic features to push model interpretability in cognitive tasks. Colleagues describe him as a pragmatic problem-solver who enjoys coding while translating cognitive theory into reproducible software.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, Science Track, High School Diploma, Science Track at Jiangsu Yancheng Middle School
Doctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at University of Wisconsin-Madison
Non-Degree Summer School, General Studies, Non-Degree Summer School, General Studies at University of California, Los Angeles
Chinese, English