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 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 pipeline 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).