About
Sean grew up in Taiwan. He completed his undergraduate studies at National Taiwan University. Upon graduating, he joined a visiting student program at the University of Wisconsin-Madison, where he quickly developed a fondness for the city. He promptly return to Madison to undertake his PhD studies. Outside of his academic pursuits, Sean is a passionate birdwatcher and a keen explorer of the natural world and museums.
Education
- BS, Psychology, National Taiwan University
- MS, Computer Science, University of Wisconsin-Madison
- PhD, Psychology, University of Wisconsin-Madison (in progress)
Research Description
I am deeply fascinated by belief dynamics, specifically exploring how individuals alter their beliefs upon encountering new messages from others. My approach is rooted in computational methodologies, employing computational modeling, machine learning, and Natural Language Processing (NLP) techniques to delve into this domain. My research spans across three distinct yet interconnected branches: 1. Conducting well-controlled lab behavioral studies to understand the nuances of belief evolution. 2. Analyzing large scale network time-series data, with a particular focus on social media platforms such as Twitter, to observe the real-world dynamics of belief dissemination. 3. Leveraging large language models (LLMs) as human-like agents to simulate societal phenomena, including the formation of echo chambers. Through this, I aim to better understand AI-human alignment and explore strategies that enhance the "humanness" of LLM agents.
Affiliations
- Department of Computer Science
- Knowledge and Concepts Lab
- AI + Society