People

Emily Bunnapradist

Research Resident, Basis Research Institute

Emily Bunnapradist is a research resident at Basis focusing on world modeling and agentic systems. Her work involves leveraging theories of intelligence to build more capable and trustworthy AI systems.

Education

  • MS, Computer Science
    Stanford University
  • BS, Symbolic Systems BS, Mathematics
    Stanford University

About

I am a research resident at Basis, where I work on MARA, a long-term effort to build AI systems capable of everyday scientific discovery through active experimentation and abstract reasoning.

I recently completed my Master’s in Computer Science and my Bachelor’s in Mathematics and Symbolic Systems at Stanford, where I explored mechanistic interpretability in language models and computational cognitive science. I also spent time studying Philosophy of Mind at Oxford University, thinking about topics like consciousness and computational theories of mind.

My broad interests include leveraging theories of mind and intelligence to build more capable and trustworthy AI systems. I also find topics such as philosophy, psychology, linguistics, and mathematics fascinating, and am always curious about ways we can bridge these perspectives.

Projects

Current and recent Basis projects.

MARA

Modeling, Abstraction, and Reasoning Agents: systems that build and use world models through active experimentation and abstract reasoning.

Cities

Participatory city models that help residents, community groups, and policymakers reason about uncertain causes and policy consequences.