Ninad Aithal

Incoming MSc Student, ORIGAMI Lab @ The Neuro (MNI), McGill University

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The Neuro (MNI)

McGill University

Montréal, QC

I am an incoming MSc student in the Integrated Program in Neuroscience at McGill University, joining 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.

Alongside research, I build open tools for neuroscience — most recently NeuroDataHub, an open-access platform for exploring and comparing large-scale neuroimaging datasets.

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 Excited to be joining the ORIGAMI Lab at The Neuro (MNI), McGill University as an incoming MSc student in the Integrated Program in Neuroscience 🧠.
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
Feb 10, 2025 Our work Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations has been accepted at Frontiers in Neuroscience 🧠.

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