Noah Okada I’m a PhD researcher at Caltech studying how affect shapes decision-making in biological and artificial intelligent systems. My work spans computational neuroscience, human behavior, and AI alignment, with recent projects examining multi-agent LLM behavior and using activation steering to causally manipulate internal model representations. I’m especially interested in building the systems that make these questions tractable. Across my research, I’ve developed AI-agent experiments, large-scale behavioral platforms, immersive VR environments, multimodal data pipelines, and clinical assessment tools. My work has ranged from studying emergent dynamics in LLM agents to building scalable digital-health systems used across research sites.
Research Engineer Intern
Research Engineer Intern
Doctorate
Bachelors, Software
