Hi!

I am Jun Yang (杨骏), a PhD student in the Quantitative Biosciences Program at Georgia Tech. I am interested in theoretical and computational neuroscience (/≧▽≦)/.

I’m advised by Dr. Hannah Choi. I currently work on two projects: developing a mechanistic model of cell-type-specific novelty responses in mouse V1 and constructing a circuit model of predictive processing during active vibrissal sensing.

Before beginning my PhD, I studied at Tsinghua University, where I earned dual Bachelor’s degrees in Mathematics and Physics + Electrical Engineering ¹. As an undergraduate, I explored neuroscience through research with Dr. Yang Tian on synchronization and information decomposition, Dr. Sukbin Lim at NYU Shanghai on continuous attractor models, and Dr. Mayank Mehta at UCLA on electrophysiological data from the Allen Institute’s Visual Coding – Neuropixels dataset.