By keywords, here are some of the subjects that best capture my interests:
#   Human-AI collaboration
#   Socio-technical impact of AI
#   Scalable methods for human-centered AI research
#   Digital mental health
#   Future of work & the online labor market
#   Computational social science

To provide more context, I aim to examine — and ideally project — AI’s societal impacts and potential harms before they loom large. The key challenge is that many of these harms only emerge when AI systems are deployed at scale. To address this, I take three complementary approaches:

1. [individuals → AI] I analyze how individual decisions shape machine behaviors and project how these influences scale. e.g., how do individuals' data-sharing decisions create downstream effects on AI-infused digital health systems?
2. [AI → individuals] I investigate how algorithmic systems influence individual decision-making and behaviors, assessing their broader cumulative effects. e.g., how do different forms of AI assistance on freelance platforms influence individual clients' decisions and shape new norms for recruitment processes in the online labor market?
3. [methods that scale] To support these two efforts, I explore novel methods that enable investigating AI's impact at different scales. Currently, I pay much attention to simulation-based methods.

07/2025   Our work examining large-scale data across two major freelance and creator platforms (Upwork and Bēhance) shows that creators who declare the use of AI receive significantly lower pay, but those who work on non-creative job functions earn more when labeling themselves as "AI Pros." I will present this work at the Annual Meeting of Academy of Management (AOM) and International Conference on Computational Social Science (ic2s2). See extended abstract here.

05/2025   I will lead a session on (de)valuation of AI-assisted work in the online labor market in an upcoming workshop series on "What is work worth?" at Data & Society.

04/2025   Along with my amazing colleagues, we organize the Annual ShowCAIS at USC Center for AI in Society (happening April 11 on USC campus). I will speak at a session on AI and Mental Health and moderate a session on AI, local community, and policy.

03/2025   Our workshop on disclosure, ownership, and accountability of AI use got accepted at CHIWORK. Kudos to my amazing co-organizers: Gina Do (IBM Research), Molly Feldman (Oberlin), Jessica He (IBM Research), and Seyun Kim (CMU). See full details on the workshop website.

03/2025   It was pleasure to speak at Annenberg Research Seminar and Annenberg Leadership Summit to share some of my ongoing work on projecting AI's sociotechnical harms at scales.

02/2025   It has been a fun journey working on the topic of "scale" with MASTS. Thank you all for the thoughtful feedback for my ongoing work.

Summer 2025   Qian Yang (Cornell IS), Tanzeem Choudhury (Cornell Tech), Fei Wang (Weill Cornell Medicine), and I co-organize the inaugural Thought Summit on AI in Mental Health. This week-long event brings together experts from computer science, HCI, clinical health, and health policy to jointly discuss the new frontier of digital mental health.

01/2025   Our panel on "Human Subjects Research in the Age of Generative AI" is accepted at CHI 2025. Along with an amazing group of computer and social scientists, we will jointly discuss (and debate!) opportunities and challenges of applying LLM-simulated data to HCI studies. We are actively developing an agenda for discussion at the panel. If you get thoughts or questions about this topic, please reach out!

01/2025   We did a live webinar at The Workforce Lab at Slack, Salesforce. In this ongoing project, Marlon Twyman (USC), Matt O'Donnell (UPenn), and I explore the impact of generative AI on hiring decisions for professional creators across the online labor market.