Portrait
Jie Gao
Malone Postdoc Fellow
Johns Hopkins University

I am on academic job market for a tenure-track position in 2026. Please feel free to reach out if you know any opportunities. If you are also on job market, I'd love to connect!

I am currently a Malone Postdoc Fellow in Department of Computer Science, Malone Center for Engineering in Healthcare and Center for Language and Speech Processing at Johns Hopkins University. I am mentored by Mark Dredze, Ziang Xiao, and Chien-Ming Huang. My research interests include Human-AI Collaboration, AI for Social Science, and Human Aspects of Software Engineering. As a human-AI collaboration researcher, I focus on empowering humans for analysing complex data.

Research Interests: Every major technological leap has transformed how humans analyse and learn from data, a process shapes how we make business decisions, formulate public policies, and even diagnose diseases. Today, AI made us enter the next chapter where humans and AI can jointly learn from data. I leverage AI techniques and social science methodologies to design, build, and evaluate human-AI collaborative systems that empower humans to analyze complex unstructured data. My long-term vision is to expand human capabilities through human-AI collaboration, moving beyond data analysis toward broader human cognition.

Research Vision

My research aims to answer following open-ended questions:

  1. Bring AI to Humans: Integrating AI into Human Analytical Workflows to Make Humans More Capable: What are data analysis practitioners' manual analytical workflows? What challenges do they face when using existing analysis platforms? How do they envision AI's role in their workflows? How to evaluate AI-generated results' quality? What are gains and loses when applying AI?
  2. Bring Humans to AI: Bringing Humans into AI's Automation to Make AI Systems Responsible: When and where should humans be involved in AI's automation process? What is the ideal division of labor between humans and AI? Which forms of human involvement are meaningful and desirable, and which are not? How can we design AI systems to enable such involvement?
News
2025
I will be attending EMNLP2025 in Suzhou, China, this year. Please say hi if you are around!
Oct 29
I attended VL/HCC 2025 conference in North Carolina. Met new friends and had a great time!
Oct 07
I will serve as an Associate Chair for CHI2026 this year again!
Aug 25
🚀 I attended CHI 2025 conference in Japan, and met a lot of old and new friends!
May 07
🌟 We introduce mindcoder.ai, a web application designed to support human-LLM co-analyse qualitative data. The user only needs to follow three steps to obtain qualitative analysis results-1) upload data, 2) start coding, and 3) get analysis report! Highlight
Apr 25