Ninad Aithal

MSc Student, Integrated Program in Neuroscience, McGill University

prof_pic.jpg

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 ! :sparkles: :smile:
Feb 13, 2025 Hourned with Gold Medal

latest posts

selected publications

  1. isbi.gif
    Mci detection using fmri time series embeddings of recurrence plots
    Ninad Aithal, Chakka Sai Pradeep, and Neelam Sinha
    In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024
  2. topology.gif
    Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology
    Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, and 1 more author
    In International Workshop on Topology-and Graph-Informed Imaging Informatics, 2024
  3. topology.gif
    Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment
    Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha, and 1 more author
    In International Conference on Pattern Recognition, 2025
  4. Data-Driven Identification of Sex Differences in Cerebral Blood Flow Using Arterial Spin Labelling and Explainable Artificial Intelligence
    Ninad Aithal, Neelam Sinha, and Venkatesh Babu Radhakrishnan
    bioRxiv, 2026