Sean Hill

Inauguaral Director
Krembil Centre for Neuroinformatics, at the Centre for Addiction and Mental Health (CAMH)

Dr. Sean Hill is the Inaugural Director of the Krembil Centre for Neuroinformatics, at the Centre for Addiction and Mental Health (CAMH) in Toronto, Canada and Professor in the Departments of Psychiatry and Physiology at the University of Toronto. He is also an Infrastructure Co-lead, University of Toronto Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM). Dr. Hill is a computational neuroscientist with experience in building large-scale computational models of brain circuitry. The Centre collaborates with clinicians and researchers, employing neuroinformatics, artificial intelligence, and multiscale modeling, to develop data-driven definitions of brain disorders, predict patient trajectories, and transform mental health care. Dr. Hill applies large-scale data integration, neuroinformatics, multiscale brain modeling and machine learning to improve our understanding and treatment of mental health disorders. The Centre’s mandate is to accelerate global collaborations in brain science using the power of big data and brain modelling to fundamentally change how mental illness is understood.

 

Key publications

  • Hill, S. L., Wang, Y., Riachi, I., Schürmann, F., and Markram, H. Statistical connectivity provides a sufficient foundation for specific functional connectivity in neocortical neural microcircuits. in Proceedings of the National Academy of Sciences of the United States of America, vol. 109, num. 42, p. E2885-94, 2012. DOI: 10.1073/pnas.1202128109

    Reimann, M. W., Anastassiou, C. A., Perin, R., Hill, S. L., and Markram, H., et al. A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents, in Neuron, vol. 79, num. 2, p. 375-390, 2013. DOI: 10.1016/j.neuron.2013.05.023

    Defelipe, J., Lopez-Cruz, P. L., Benavides-Piccione, R., Bielza, C., and  Larranaga, P., et al. New insights into the classification and nomenclature of cortical GABAergic interneurons, in Nature Reviews Neuroscience, vol. 14, num. 3, p. 202-216, 2013. DOI: https://doi.org/10.1038/nrn3444