My research interests lie at the intersection of Human-Computer Interaction (HCI), Natural Language Processing (NLP), Social Computing, and Responsible AI. I am passionate about understanding and improving the ways humans interact with AI and language technologies, with a strong focus on promoting social good and online safety.
My current work explores the following areas:
- Understanding Social Dynamics and Disagreement: Exploring demographic biases, propaganda, and other influential factors while investigating the nuances of disagreement arising from subjectivity and positionality in both HCI and NLP contexts.
- User Engagement and Online Safety in Online Communities: Designing strategies to promote positive user interactions and engagement in online spaces, contributing to social good, while ensuring the protection and well-being of marginalized populations, fostering inclusivity and safety.
- Explainable, Human-centered Language Technologies: Developing transparent and understandable AI language systems that bridge the gap between complex algorithms and human users.
Before my Ph.D., I obtained my Bachelor in Statistics, Masters degrees in Data Science and Linguistics all from the University of Minnesota. During that time, I was advised by Dr. Lana Yarosh and Dr. Dongyeop Kang.
Dec. 2023: ✈️ Presented Digital and Historical Exclusivity in Feminine Linguistics: From Nüshu to Xiaohongshu at the WiNLP workshop at EMNLP.
Oct. 2023: 🌟 Organized my first research workshop on Community-Driven AI at CSCW 2023!
Nov. 2022: 🎉 My first conference paper Everyone’s Voice Matters: Quantifying Annotation Disagreement Using Demographic Information has been accepted for oral presentation at AAAI 2023 (oral acceptance rate of 10%).
Oct. 2022: 🎉 My first paper User or Labor: An Interaction Framework in NLP has been accepted at the Workshop on Data Science with Human in the Loop at the EMNLP 2022!
Oct. 2020: 🥇 My first research poster How much is a like worth? Engagement and Retention in an Online Health Community was awarded a recognition for Outstanding Poster at the CSCW 2020!