Mohamed Abdelhack

Mohamed is a Postdoctoral Fellow working on using machine and deep learning to model psychiatric disorders.

He previously worked as a Postdoctoral Researcher at Washington University in St. Louis, building machine-learning models to predict post-surgical medical complications. He also worked as a researcher at Kyoto University Hospital studying neural activity markers of Schizophrenia using brain decoding techniques. His doctoral work at Kyoto University focused on using deep learning models to understand the robustness of the human brain in recognizing degraded visual input.

He possesses various skills in computational neuroscience, neural imaging, and machine and deep learning.