Ph.D. Student Spotlight

Terrence Neumann

Terrence Neumann is a fifth-year Ph.D. candidate in information systems and is being advised by Maria De-Arteaga and Yan Leng. His research sits at the intersection of responsible AI, computational social science, and governance. He studies when and how large language models (LLM) can be used as “silicon subjects” for measuring opinions and behaviors when ground truth is limited, and he develops statistical diagnostics to detect instability, bias, and other failure modes before these systems are used for real decisions. In parallel, he explores mechanistic interpretability and causal interventions to better understand and control agentic social behaviors in LLMs. His website and CV are available here: https://terryneumann.github.io/