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, and am 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 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 using computational and statistical modeling to analyze human-subjects data (diffusion & functional MRI, behavioral questionnaires, eye-tracking, egocentric image comprehension).
Developmental Cognitive Neuroscience
Studying neurocognitive processes underlying skill (object understanding, decision-making, and social reasoning) development across childhood.
A bit more about me
I completed my masters at the Department of Psychology at the University of Edinburgh, where I characterized the neural mechanisms of theory of mind development by building reproducible analysis pipelines for analyzing functional and diffusion MRI. Before Edinburgh, I graduated from Scripps College with majors in Computer Science and Neuroscience. For my undergraduate thesis, I trained and tested computer vision models to characterize early object learning using egocentric infant video frames.
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, from 4°C to 40°C).