Ruyi Pan

PhD Candidate in Statistics

I am a PhD candidate in the Department of Statistical Sciences at the University of Toronto. My research develops statistical methods for high-dimensional and multiview data, with a particular interest in neuroimaging and the relationships between different measures of the brain.

I work on spatial inference, testing associations across data modalities, and dependence modeling. My research aims to provide methods that are statistically rigorous, computationally practical, and useful for scientific questions.

My doctoral research is co-supervised by Professors Jun Young Park, Nancy Reid, and Aristotle N. Voineskos, with collaborations across statistics and neuroscience.

Portrait of Ruyi Pan

Publications

Pan, R., Diaz-Martinez, J., Gronsbell, J., & Touma, Z. (2022). Screening for cognitive impairment with the Automated Neuropsychological Assessment Metrics in patients with systemic lupus erythematosus [abstract]. Journal of Rheumatology, 49(7), 840–841.

Working Papers and Research in Progress

Chaposhloo, M., Oliver, L. D., Power, J. D., Byambadorj, J., Yu, J.-C., Pan, R., Bingham, K. S., Agarwal, M., Hahn, M., Foussias, G., Mulsant, B. H., Flint, A. J., Voineskos, A. N., Hawco, C., & Neufeld, N. H. Precision functional mapping in individuals with schizophrenia spectrum disorders and psychotic depression: feasibility and connectome fingerprinting.

Pan, R., Oliver, L. D., et al. Brain connectivity foundation model: a knowledge-grounded AI system for human connectome discovery. [In progress].