Lindsay Smith

I am a 4th-year physics PhD candidate and NSF GRFP fellow at Princeton University, advised by William Bialek and David Schwab. My research focus is studying the science of AI, drawing on my background in physics and complex systems.

Current ML/AI research areas: mechanistic interpretability, in-context learning, LLM multi-agent interactions, AI safety.

I'm also investigating chain-of-thought injections as a control method for AI safety in the MARS 3.0 program, collaborating with the Geodesic Research team.

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Papers

Selected Presentations

Meta 2025 PhD Forum

Poster: “ALICE: An Interpretable Neural Architecture for Generalization in Substitution Ciphers.”

View poster

American Physical Society (APS) Global Summit 2025

Topical Group on Statistical and Nonlinear Physics (GSNP) Student Speaker Award Finalist

Talk: "Multi-Agent Debate: Analyzing Consensus in Networks of LLM Agents"

Conference abstract

Background

Previously, I was an undergraduate at the University of Pennsylvania where I majored in physics (with honors), minored in mathematics and French and Francophone studies, and graduated cum laude. My undergrad research advisor was Dani Bassett, and I researched human white matter brain networks, the human perception of the stars in the night sky, and abstraction in reservoir computers (a type of RNN).

Before undergrad, I worked on a project at WSU designing a flux spectrometer for the Deep Underground Neutrino Experiment (DUNE) at Fermilab, advised by Holger Meyer.

Contact

Email: lindsay.smith@princeton.edu.