Jie (Sophia) Gao
Jie (Sophia) Gao

Jie (Sophia) Gao

Malone Postdoc Fellow, Johns Hopkins University
@Malone Center for Engineering in Healthcare
@Data Science and AI Institute
@Center for Language and Speech Processing
Agentic AI Human-AI Collaboration AI-assisted Qualitative Analysis
jgao77(at)jh.edu · Scholar · Twitter · LinkedIn · CV

About

I am currently a Malone Postdoc Fellow at Johns Hopkins University, where I am mentored by Mark Dredze, Ziang Xiao, and Chien-Ming Huang. I was fortunate to gain multiple kinds of training I currently rely on through postdoc, Ph.D., and visiting student experiences. Previously, I was a Postdoctoral Associate at MIT's SMART program in Singapore, advised by Thomas W. Malone, where I learned collective intelligence and the theoretical perspective of human-AI teams. I received my Ph.D. from SUTD, advised by Simon Perrault, where I gained foundational HCI training. During my Ph.D., I was a visiting student at the University of Notre Dame, hosted by Toby Jia-Jun Li, where I learned to design innovative human-AI collaboration, and at the National University of Singapore, hosted by Shengdong Zhao, where I learned to run rigorous empirical user studies.

AI agents are here.
How do we understand them? How do we control them?

Fundamentally, I am fascinated by how people identify patterns and derive reusable principles from messy, ambiguous, and complex situations and phenomena. Text and code are my entry points into them. This is why I am drawn to analytical methods such as thematic analysis, grounded theory, content analysis, and taxonomy building. These methods help people turn complexity into understanding. To achieve this goal, I use human-AI collaboration to make these methods more accessible, simplified, and supported, while keeping human judgment and reasoning.

Research

Three threads of human-AI collaboration, each pairing a different human role with AI on a different interpretive task.

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