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Mahdi Soltanolkotabi is the director of the center on AI Foundations for the Sciences (AIF4S) at the University of Southern California. He holds the Andrew Erna Viterbi Early Career Chair and has a focus on developing mathematical foundations for modern data science and artificial intelligence. His research encompasses various areas including high-dimensional probability statistics, statistical inference, AI safety, and deep learning representation. Prior to joining USC, he completed his PhD in electrical engineering at Stanford University in 2014 and was a postdoctoral researcher at the EECS department at UC Berkeley. His work emphasizes applications in AI healthcare, optimization, and machine learning, exploring topics like large-scale distributed training, federated learning, and signal processing. He has received several prestigious awards including the 2024 Amazon GenAI Research Award and the 2023 NIH Director's New Innovator Award.
GRE is NOT required for Master's applicants for 2025-2026.