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?
Updates & Travel
2025
✈️ I attended EMNLP2025 in Suzhou, China, this year. Check out our position paper on generalizing qualitative data analysis to subjective data annotation domain.
Nov
✈️ I attended VL/HCC 2025 conference in North Carolina. Met new friends and had a great time!
Oct
👩🏻‍💻 I am serving as an Associate Chair for CHI2026 under subcommittee Understanding People — Statistical and Quantitative Methods.
Oct
✈️ I attended CHI 2025 conference in Japan, and met a lot of old and new friends!
May
🌟 We introduce mindcoder.ai, a web application designed to support automated qualitative analysis. The user only needs to follow three steps to obtain qualitative analysis results-1) upload data, 2) start coding, and 3) get analysis report! See how to use-video.
Apr
🚀 Started my postdoc fellowship at Johns Hopkins University!
Mar
2024
🚀 I will join the Malone postdoctoral fellow program at Johns Hopkins University next March! I will be working with Mark Dredze, Ziang Xiao and Chien-Ming Huang to explore the potential of LLM in qualitative analysis methodology usage in healthcare.
Dec
👩🏻‍💻 I am serving as an Associate Chair for CHI2025 under subcommittee "Understanding People — Statistical and Quantitative Methods" this year!
Sep
✈️ Attended CHI2024 and met old and new friends! I co-organized a workshop "LLMs as Research Tools".
May
🎉 Our Late-breaking Work "A Taxonomy for Human-LLM Interaction Modes-An Initial Exploration" has been accepted to CHI 2024.
Mar
We have launched CollabCoder Website. Construction and refinement is ongoing!
Mar
🎉 One first-authored paper "CollabCoder" and one coauthored paper "Help Me Reflect" have been accepted to CHI2024! (Preprints will have minor refinements in final versions.)
Jan
🚀 I successfully defended my PhD thesis titled "Tool Support for Human-AI Collaboration in Qualitative Data Analysis".
Jan
2023
🚀 We will organize a workshop "LLMs as Research Tools" at CHI2024, from 11-16 May 2024 in Honolulu, Hawaii, USA.
Dec
🚀 Starting from early 2024, I am excited to become a part of the Singapore-MIT Alliance for Research and Technology as a Postdoctoral Researcher, where I will be mentored by Prof. Thomas W. Malone. I'm thrilled about this opportunity!
Dec
🚀 I attended EMNLP2023 at Singapore. Happy to learn many new things and friends!
Dec
🚀 Presented CollabCoder project in the Immersive Reality Lab at NUS. Thanks for the invitation from Prof Khoo Eng Tat!
Nov
🚀 Attended CSCW2023 and presented CollabCoder demo virtually! (due to visa and funding issues)
Oct
🎉 One coauthored paper "GlassMessaging" has been accepted to Ubicomp2023!
Aug
🎉 One coauthored paper has been accepted to ICSME2023!
Jun
🎉 One coauthored paper "VISAR" has been accepted to UIST2023!
Jun
🎉 One first-authored paper "CoAIcoder" has been accepted to TOCHI!
Jun
🎉 Our "CollabCoder" platform has been selected for a demo work at CSCW2023!
Jun
🚀 Excited to start as a visiting Ph.D. student at Notre Dame, working with Prof Toby's team!
Jan
👩🏻‍💻 Work as an associate chair for the Late-Breaking Work Committee of CHI2023.
Jan
2022
🚀 Thrilled to begin as a visiting Ph.D. student at NUS-HCI lab, looking forward to collaborating with Prof Shen and the lab team!
Jun
✈️ Glad to attend CHI2022 in person in New Orleans, LA, USA. Thanks for the funding support from Simon.
Apr
👩🏻‍💻 Worked as an associate chair for the Late-Breaking Work Committee of CHI2022.
Jan