Teaching

I design applied-learning courses that are AI-forward, product/outcome oriented, and emphasize teamwork with structured competition (strong collaboration within teams; transparent competition between teams).

Teaching directions

• Digital Content Creation / Production (AI-native pipelines + evaluation)
• Computational Communication / Digital Methods (annotation, benchmarking, reproducible workflows)
• AI-Assisted Research Methods (LLM evaluation, reliability, calibration, responsible use)
• Multi-Agent Engineering Studio (team-based product building + evaluation)

Studio format (teamwork + competition)

Students work in small teams to build AI-era products (apps, automated workflows, or media/knowledge SaaS prototypes). Collaboration is incentivized within teams; competition happens between teams (outcome-oriented evaluation).