Saeed Saremi's long-term scientific goal is to solve fundamental problems in AI, particularly the unsupervised learning problem. Saremi's research blends machine learning, statistical mechanics, and computational neuroscience towards that goal. He finished his PhD at MIT in theoretical physics with Patrick Lee, where he worked on quantum field theories for strongly correlated systems. Saremi spent wonderful years at the Salk Institute with Terry Sejnowski, where he developed a novel framework for image modeling. Saremi has recently moved to UC Berkeley as a Staff Researcher at the Redwood Center for Theoretical Neuroscience.