Mohamed Abdelhack

Computational Neuroscience Postdoctoral Fellow Whole Person and Population Modelling Lab.

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I am a computational neuroscientist interested in the interface between neuroscience, artificial intelligence, and psychiatry. I use machine learning to model cognitive processes especially visual inference and investigate how perturbations in these models can emulate psychiatric conditions. I utilize fMRI data as well as electronic medical records.

I am currently investigating neurological substrates of mental illnesses such as schizophrenia and bipolar disorder and how they can affect physical health. My other research interests span computational neuroscience, healthcare informatics, and deep learning.

Originally from Alexandria, Egypt, I left as an electrical engineer in 2012 and have been traversing through different countries in search for good science and good human beings. I did my graduate studies in OIST (MSc.) and Kyoto University (PhD under the supervision of Prof. Yuki Kamitani). Before moving into Canada, I completed a Postdoc in Washington University in St. Louis.

When I’m not sciencing, I am either reading, playing sports (currently interested in calisthenics and bouldering but these can change anytime), travelling (visas permitting), walking and listening to music, or searching for a new fun activity.

I also appreciate a good conversation about politics, human rights, history, philosophy, and geography. In a parallel universe (or alternate timeline), I’m a news reporter covering hot events live from the field. I’m a pan-Arab, pan-African, and pan-World (if that’s a thing). When it comes to food, I’m very politically incorrect and biased so ask me at your own risk.

news

Nov 02, 2024 I gave an invited talk titled Common Neural Signature of Sleep and Depression at the life sciences conference 2024 organized by the Scientific Arab Forum.
Sep 16, 2024 I was awarded the 2024 The Neuro - Irv and Helga Cooper Foundation Open Science Prize - International Trainee Prize.
Sep 12, 2024 Our paper Identifying Psychosocial and Ecological Determinants of Enthusiasm In Youth: Integrative Cross-Sectional Analysis Using Machine Learning was published at JMIR Public Health and Surveillance.
Sep 11, 2024 I gave a lecture at the Ibn Sina Neurotech Summer School titled Machine Learning in BCIs and Healthcare.
Sep 11, 2024 Our paper Effect of machine learning models on clinician prediction of postoperative complications: the Perioperative ORACLE randomised clinical trial was published at the British Journal of Anaesthesia.
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selected publications

  1. Open Access
    Social Vulnerability and Surgery Outcomes: A Cross-sectional Analysis
    Mohamed Abdelhack, Sandhya Tripathi , Yixin Chen , and 2 more authors
    BMC Public Health, 2024
  2. Open Access
    Opposing brain signatures of sleep in task-based and resting-state conditions
    Mohamed Abdelhack, Peter Zhukovsky , Milos Milic , and 6 more authors
    Nature Communications, 2023
  3. Open Access
    A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
    Mohamed Abdelhack, Jiaming Zhang , Sandhya Tripathi , and 5 more authors
    Transactions on Machine Learning Research, 2023