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Rimjhim Agrawal

Rimjhim Agrawal

Co-founder & CTO at BrainSightAI, specializing in AI for neuroscience

Bengaluru, India
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Joined March 2026
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AI/ML Data Science
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BrainSightAI Core Team
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Healthcare Technology Leaders
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Dassault Innovation

Summary

Rimjhim Agrawal is a pioneering neuro-informatics entrepreneur, co-founding BrainSightAI to bridge advanced neuroscience and clinical practice. Her work, including the VoxelBox platform, utilizes AI and fMRI to provide actionable insights into brain functioning, aiding in the diagnosis, surgical planning, and treatment of neurological and psychiatric disorders like schizophrenia and OCD. She emphasizes a mechanism-first approach, translating complex brain connectivity patterns into practical clinical applications. forbesindia+3
With a PhD in Machine Learning in Psychiatry from NIMHANS, Rimjhim has extensive academic and research experience. Her doctoral work focused on applying AI to differentiate healthy brains from those with schizophrenia using biological datasets. This foundational research led to numerous publications in prestigious journals and patents, demonstrating her deep expertise in machine learning, neuroscience, imaging, and connectomics. google+3
Rimjhim is a recognized speaker and innovator in the field of AI and neurotech, frequently sharing her insights at conferences and in interviews. She champions the integration of AI in medical and life sciences, advocating for personalized medicine approaches based on individual brain connectivity and striving to enhance brain health awareness through practical AI solutions. analyticsindiamag+3

Work

Education

Projects

Writing

AI and the brAIn

September 1, 2022

An article in IIT Madras' Shaastra magazine describing her journey and research on applying Artificial Intelligence to derive patterns from biological datasets to distinguish a healthy person from a person with schizophrenia, and her entrepreneurial path with BrainSightAI.

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System for analysing an activity of brain using magnetic resonance imaging (MRI) data

August 16, 2022

A patent (US Patent 11412933) for a system that classifies brain activity and connectivity into neuropsychiatric disorders from MRI images using machine learning. It involves generating 3D structural and 4D functional MRI images, extracting features, and analyzing intensity variations to classify brain activity.

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Prediction of obsessive-compulsive disorder: importance of neurobiology-aided feature design and cross-diagnosis transfer learning

January 1, 2022

A publication investigating the prediction of obsessive-compulsive disorder, emphasizing the role of neurobiology-aided feature design and cross-diagnosis transfer learning.

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Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning

January 1, 2019

A research paper exploring the application of AI in mental health, specifically focusing on improving schizophrenia prediction using multiple brain parcellation ensemble-learning techniques.

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