Binze Li

About Me

Hi there! I am a first-year PhD student in Computer Science at Johns Hopkins University, co-advised by Gillian Hadfield and Tianmin Shu. I earned my Bachelor of Science in Statistics & Data Science and Cognitive Science from the University of California, Los Angeles in June 2025.

Throughout my undergraduate years, I conducted research at the intersection of computational cognitive modeling, probabilistic inference, and visual and analogical reasoning. I was fortunate to be advised by Tao Gao at UCLA and Volkan Ustun at the USC Institute for Creative Technologies. I also worked as a research assistant at the UCLA Computational Vision and Learning Lab.

Research Interests

I am passionate about building safe, trustworthy, and human-aligned AI.

My primary interest lies in how intelligent agents can align their values and behavior in social environments, especially when objectives are partially conflicting and rules are not explicitly defined. Human societies rely on shared norms and institutions to sustain social equilibrium. I am curious about how similar mechanisms can be modeled, inferred, and learned by artificial agents.

News

• [Feb. 2025] Awarded a talk presentation at the Society for Personality and Social Psychology Health Preconference for “Uncovering Individual-Level Treatment Effects in Value Affirmation Using Machine Learning Techniques.”

Publications

Powered by Jekyll and Minimal Light theme.