Ninad Aithal
MSc Student, Integrated Program in Neuroscience, McGill University
The Neuro (MNI)
McGill University
Montréal, QC
I am an MSc student in the Integrated Program in Neuroscience at McGill University. Since moving to Montréal in August 2026, I have been working in the ORIGAMI Lab at The Neuro (Montreal Neurological Institute) under Jean-Baptiste Poline. My research spans neuroimaging, medical image analysis, and machine learning for brain health.
I am also a maintainer of Nipoppy, contributing to open and reproducible neuroimaging workflows. My current research investigates how PET imaging, longitudinal MRI, and cognitive measures can characterize cognitive decline, including in federated settings where data remain at participating sites.
Alongside research, I build open tools for neuroscience — most recently NeuroDataHub, an open-source catalogue and downloader for public neuroimaging datasets. It brings together 50+ curated datasets and 50,000+ brain scans, and has been used by more than 1,000 people; ChatGPT is among its largest referral sources.
I’m broadly interested in foundation modeling for neuroimaging and in federated learning across imaging sites — bringing models to data spread over hospitals and cohorts, so studies can scale without centralizing sensitive scans.
news
| Jul 15, 2026 | Started my MSc in the Integrated Program in Neuroscience at McGill University and joined the ORIGAMI Lab at The Neuro (MNI) 🧠. |
|---|---|
| Jul 09, 2026 | Our preprint, Data-Driven Identification of Sex Differences in Cerebral Blood Flow Using Arterial Spin Labelling and Explainable Artificial Intelligence, is now available on bioRxiv. |
| May 02, 2025 | Neuro Imaging Navigation and Datahub goes live !! |
| Apr 02, 2025 | Catch my interview for IITM-BS Degree Programme ! |
| Feb 13, 2025 | Hourned with Gold Medal |
latest posts
| Feb 27, 2026 | Recurrence Plots |
|---|---|
| Feb 26, 2026 | Getting Started in NeuroAI Without Spending Months on Preprocessing |
| Jun 05, 2025 | Neuro Data Hub |
selected publications
-
Mci detection using fmri time series embeddings of recurrence plotsIn 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024 -
Analyzing Brain Tumor Connectomics Using Graphs and Persistent HomologyIn International Workshop on Topology-and Graph-Informed Imaging Informatics, 2024 -
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive ImpairmentIn International Conference on Pattern Recognition, 2025 - Data-Driven Identification of Sex Differences in Cerebral Blood Flow Using Arterial Spin Labelling and Explainable Artificial IntelligencebioRxiv, 2026