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.
Research Interests
My research lies at the intersection of Human-Centered AI, Natural Language Processing, and Computational Social Science. My overarching goal is to build Human-Centered AI Systems for constructive communication and effective decision-making.
My research focuses on the following directions:
1. Social NLP: How to evaluate and improve LLMs’ capabilities to understand and interact with humans in social contexts.
2. Computational Social Science: How to use computational methods to understand human behavior and social phenomena at scale.
3. Human-Computer Interaction: How to design and evaluate Human-Centered AI systems for different social scenarios.
Opening
I am always looking for talented students and collaborators from all backgrounds for both research and impactful open source projects. Feel free to shoot me an email if you are interested in my research, but please understand if I am not able to respond to every email (and usually no response means no).
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.
Recent News
- 2 papers accepted to NAACL and 2 papers accepted to CHI! A great start to 2025!
- POTATO won the Best Demo Paper Award at HCOMP 2024!
- POTATO, our open-source annotation system reached 40K downloads! Try it out if you need data labeling!
- 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)
- Two papers accepted to EMNLP 2023!
- Our paper on modeling information change in science communication won an Honorable Mention Award at the International Conference on Computational Social Science (IC2S2 2023)