Zora Wang is a CS PhD student at Carnegie Mellon University, working at the intersection of coding agents and human-AI collaboration.
Her research explores how agents work, how humans work, and how the two can collaborate to get more done together.
Appearances
Key Contributions
- Agent Workflow Memory: Inducing and reusing workflows so agents get more capable over long-horizon tasks.
- Human vs. Agent Work: Comparing how AI agents and humans carry out work across diverse occupations.