I am a Ph.D. student at Paul G. Allen School of Computer Science & Engineering, University of Washington, advised by Professor Yejin Choi. I am also a student researcher at Allen Institute for Artificial Intelligence (Ai2). I earned B.A. in Computer Science and B.A. in Mathematics from Colby College. During my undergraduate studies, I worked on Smart Primer at Stanford University HCI group.

I do research in artificial intelligence (AI) and natural language processing (NLP). I’m intrigued to make wild imaginations come true by building AI + orchestrating mathematical and philosophical rigor to tackle real-world needs + understanding the charms, mysteries, and peculiarities of humans. I aspire to achieve a co-evolution of AI and humanity: developing AI systems with deep concerns for human traits, values, and needs, while gleaning novel insights into humans, society, and humanity through advancing AI.

My long-term research goal is threefold:

(1) Inventing and engineering better AI by bridging language, multimodality, human cognitions, behaviors, philosophical insights, world knowledge, dynamic interactions, mathematical formulations, etc., through an interdisciplinary lens and in a scalable manner.

(2) Computationally investigating meaningful & engaging phenomena in humans and society to add new insights to humanity.

(3) Advancing AI applications to enhance positive social impact while ensuring robust safety and versatile alignment with all.

My current research focuses include:

(1) Pursuing AI that embraces the diverse need of all people.

(2) Investigating alternative paths toward enhancing the robustness of AI safety beyond current safety alignment paradigms.

I’m forever thankful to the people who have mentored me. Thus, feel free to reach out to me for undergrads and junior researchers who are interested in my work.