I am a tenure-track assistant professor of Computer Science at NYU Shanghai, jointly affiliated with the Computer Science Department at New York University. I serve on NYU Shanghai's AI & Innovation Advisory Committee, where I lead the Interdisciplinary AI Research subcommittee. I have been honored to receive four Shanghai talent awards: Pearl Elite, Pujiang, Magnolia, and Oriental.

I broadly pursue interdisciplinary research connecting AI (e.g., Natural Language Processing, Speech Processing, and Machine Learning) and Humans (e.g, Human-Computer Interaction, Computational Social Science, Psychology). Specifically, I initiated the research on Bidirectional Human-AI Alignment (NeurIPS 2025 Tutorial | CHI 2026 Workshop | NeurIPS 2025 Position Paper | ICLR & CHI 2025 Workshop | NYU Shanghai Course). My research aims to:

that enables humans to interactively explain, audit, and collaborate with agentic AI (Align Humans with AI), and integrates human feedback and values to improve agentic AI (Align AI with Humans), achieving a complete loop of Bidirectional Humans↔AI Alignment. Concrete research directions and representative papers include:
I was a Postdoctoral Scholar at the University of Washington iSchool and RAISE Center (2024-2025), and a Postdoctoral Research Fellow at University of Michigan UMSI and CSE (2023-2024). I obtained my Ph.D. degree at Penn State (2019-2023). I also interned in Google Research (now Google DeepMind) and Amazon Alexa AI (now Amazon AGI). Deeply grateful for my mentors, collaborators, and students🧡!