Lan Gao

Lan Gao is a PhD student in Computer Science at the University of Chicago. Her research focuses on Human-Computer Interaction (HCI), technology policy, AI governance, and usable privacy and security. She specializes in addressing challenges in information privacy, AI security, and technology ethics through design and engineering approaches. Lan Gao has published academic papers in top conferences (e.g., CHI, USENIX Security) and actively participates in projects related to AI technology and privacy education. Her work carries significant societal impact, particularly in advancing workplace inclusivity and improving privacy protections in AI products.

• 2023–Present·University of Chicago·PhD Student
  • Research focus includes AI governance, technology policy, and privacy and security; participated in multiple academic projects and published papers.

• 2023–Present·University of Chicago·PhD
  • Research focus: Computer Science, Human-Computer Interaction, AI Governance