Yichen Wang

Yichen Wang is an undergraduate student at the University of California, Los Angeles (UCLA), pursuing a B.S. with honors in mathematics and physics, and a minor in computing. He previously conducted research in computational cognitive science and vision in the Computational Vision and Learning Lab (CVL) at UCLA, where he focused on developing self-supervised neural networks for visual reasoning. Before that, he also developed an EEG-based psychophysics experiment and studied ECoG decoding of visual and motor tasks at the Neuromatch Academy. He has a passion in algebraic topology, theoretical physics and their connections to theoretical and computational neuroscience. His current research interests include but are not limited to the following: 1) What is the connection between computation and the geometry of neural representations for different types of sensory inputs and outputs; and 2) How does the computation in the brain give rise to mathematical abstraction ability (e.g., how does the brain compute integer arithmetic) and how it can help us to develop new AI systems?