As a Research Trainee at the Cognitive and Behavioural Neuroscience Laboratory, IIT Bombay, I am engaged in research at the intersection of Artificial Intelligence, Computational Neuroscience, and Cognitive Science. 

My current project, “Interpretable Decision Modeling and Machine Learning for Computational Phenotyping of Attentional Dysfunction in ADHD,” explores the use of explainable machine learning and computational decision-making frameworks to characterize cognitive and attentional patterns associated with ADHD. The objective is to develop interpretable computational models that can provide deeper insights into neurocognitive mechanisms while supporting data-driven approaches for behavioral phenotyping. This opportunity allows me to collaborate within a leading research environment and contribute to advancing AI applications in neuroscience and mental health.

Guide - Prof. Rashmi Gupta, CBN Lab