Summary
Yao Li is an education-focused curriculum developer and data-savvy researcher with nine years of experience designing experiential learning, MOOCs, and K–12 social-emotional curricula. Currently a graduate student at the University of Pennsylvania studying Educational Technology and Human Development, she blends learning analytics and cognitive psychology to create evidence-based modules and PBL projects (including sexual health and AI-focused units). At Berkeley she founded campus organizations in photography and data science, grew a student-run Data Science Society to 130+ members, and created a practical data science DeCal that scaled from 40 to 100 students. Her technical work includes Python-based MOOC content-assessment alignment, EEG-backed video engagement studies, and replicate-ready computer vision research improving portrait segmentation performance. Comfortable at the intersection of product, HR, and counseling, she leverages research, teaching, and product analytics to inform curriculum and people decisions. Colleagues describe her as a creative connector who turns rigorous analytics into engaging, classroom-ready experiences.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (BA), Statistics, Cognitive Science, Bachelor of Arts (BA), Statistics, Cognitive Science at University of California, Berkeley
Interdisciplinary Studies in Human Development, Interdisciplinary Studies in Human Development at University of Pennsylvania
English, Japanese, Korean, Chinese