Jiaxin Pei

I am currently a Ph.D Candidate at Blablablab, UMSI (School of Information, University of Michigan) advised by David Jurgens. I also work with Jun Li at Ross School of Business. I was an undergraduate student at the School of Computer Science, Wuhan University.

I have very broad interests in Human-centered AI, Natural Language Processing, and Computational Social Science. My research touches on both the human and technological sides of AI, Information Systems, and Digital Platforms. I build new NLP/AI models that are able to understand social knowledge and leverage AI and data science technologies to study Business, Technology and Society. In the long term, I aim to build fair, responsible, and socially aligned technology systems and use AI to study questions regarding business, society, and technology.

My work has won a Best Student Paper Award at the ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), an Honorable Mention Award at the International Conference on Computational Social Science (IC2S2), and a Best Paper Award at the Workshop on Social Influence in Conversations.

[NEWS] POTATO, our open-source annotation system reached 30K downloads! Try it out if you need data labeling!
[NEWS] Our paper on how Canvas transforms sequential grading bias into initial disparities won the Best Student Paper Award at the ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2023)
[NEWS] Two papers accepted to EMNLP 2023!
[NEWS] Our paper on modeling information change in science communication won an Honorable Mention Award at the International Conference on Computational Social Science (IC2S2 2023)