Naiti S. Bhatt
Computational cognitive scientist and research software engineer with a background in developmental cognitive neuroscience. I build evaluation workflows, reproducible ML pipelines, and research infrastructure — currently focused on how insights from human learning and cognition can help us understand, evaluate, and shape AI systems.
What I work on
LLM Evaluation & Alignment
Evaluating frontier language models on reasoning, coding, and safety-relevant prompts against structured rubrics — with an emphasis on careful judgment and failure analysis.
Research Software Engineering
Designing scalable, reproducible pipelines (diffusion & functional MRI, computational modeling) adopted across concurrent research projects.
Developmental Cognitive Neuroscience
Studying structural and functional neurodevelopmental changes underlying theory of mind reasoning in children, combining fMRI, dMRI, and behavioral methods.
A bit more about me
I completed my postgraduate studies in the Department of Psychology at the University of Edinburgh, advised by Hilary Richardson, studying theory of mind development using fMRI, diffusion MRI, and reproducible analysis pipelines. Before Edinburgh, I graduated from Scripps College with majors in Computer Science and Neuroscience, working with Bria Long and Michael C. Frank to characterize early object learning using egocentric infant video.
I grew up in Basking Ridge, New Jersey. Outside of research, I roast and brew specialty coffee, chase sunrises and sunsets, and swim in international waters (19 countries & 30 US states so far).