Hello, I'm Ji. Good to see you here!

Bio: I am a postdoc in Ken Miller's group at Zuckerman Institute of Columbia University. I study how distributed computations across cortical and subcortical brain areas support sensorimotor processes. Because experimental constraints often prevent simultaneous neural recordings from all relevant brain areas, I develop machine learning methods to stitch together partially observed neural datasets across animals and recording sessions.

Earlier in my postdoc work, I studied how "noise" (trial-to-trial variability) depends on the "signal" (trial-averaged responses) in visual cortex, and how this relationship can arise from a simple circuit mechanism (see this paper).

Before joining Columbia, I studied the neural representation in V1 in Ralf Wessel's lab at Washington University in St. Louis. I mainly worked on characterizing representation drift and neuronal ensembles in mouse visual cortex. Before that, I was trained in applied physics as an undergraduate student at Nankai University in China.

Support: I'm currently funded by an NIH NINDS K99/R00 award to study multi-area circuit mechanism underlying memory-guided movements.