Reza Ebrahimi is an AI Researcher at Qualcomm and a PhD candidate at the University of Toronto. His expertise is in machine learning, probabilistic modeling, and generative models, with a focus on applications in compression and out-of-distribution detection. He earned his Master of Science from the University of Tehran.
His past research at CAMH involved applying machine learning to fMRI data to better understand the neural pathophysiology of Schizophrenia Spectrum Disorders.
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