I am a PhD candidate pursuing computational neuroscience, and graduated from the University of Washington, Seattle with a B.S. in Applied & Computational Mathematics and a B.A. in Psychology with Honors. My current theoretical research interest lies in the intersection between geometric topology, dynamical systems, and complex networks, with extensive application and interest in multi-scale biological or cognitive systems, especially in understanding neural systems and the theory of neural networks as well as developing brain-inspired algorithms in computer vision and reinforcement learning domains. Before attending Columbia, I researched various interesting problems spanning vision neuroscience, mathematical biology, genome sciences, protein design, and human-computer interaction.