Jiaxin Pei

Jiaxin Pei

Postdoctoral Fellow at Stanford University

I am currently a Postdoctoral Fellow at Stanford Institute for Human-Centered Artificial Intelligence (HAI) working with Alex ‘Sandy’ Pentland, Diyi Yang and Erik Brynjolfsson. I am affiliated with the Stanford Digital Economy Lab and the Stanford NLP group. I obtained my PhD from School of Information at the University of Michigan advised by David Jurgens. I also worked with Jun Li at Ross School of Business. Outside of academia, I have interned at Bloomberg, Snapchat, Nokia Bell Labs, and Tencent.

I will join the School of Information at UT-Austin as an Assistant Professor in Fall 2026 and will start a new lab on Human-Centered AI Systems. I will be hiring PhD, Master’s, undergraduate, and visiting students. Please check out my advising philosophy and fill out this application form.

Research Interests

My research focuses on Large Language Models, Human-Computer Interaction and Computational Social Science. I am currently interested in the following research directions:

1. Human-AI Interaction: Develop new interfaces and systems for human users to better interact with AI models; build more interactive, collaborative and trustworthy AI agents; Create new benchmarks and pipeline for AI system evaluation.

2. Digital Infrastructure for AI Agents: Build new standards and protocals for the future society with AI Agents.

3. Data Pipeline for LLM Training and Evaluation: Build effective data collection and annotation pipeline to better train and evaluate LLMs.

3. Collective Intelligence Systems: Build new systems that help groups and communities to better collaborate and make decisions.

4. Computational Social Science: Understand the impact of AI and technology on individuals, community and society.

Awards & Recognition

  • Best Student Paper Award, ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO)
  • Best Demo Paper Award, AAAI Conference on Human Computation and Crowdsourcing (HCOMP)
  • Honorable Mention Award, International Conference on Computational Social Science (IC2S2)
  • Best Paper Award, Workshop on Social Influence in Conversations

Software

I am the core developer of POTATO, an open-source data labeling system for effective and responsive human computation.