I’m a Postdoctoral Scholar at the University of California, Berkeley working in Jack Gallant’s lab. My research currently focuses on clinical applications of the voxelwise modeling framework, and MRI-based biofeedback methods.
I received a PhD in Cognitive Neuroscience at Dartmouth, working with Ida Gobbini and Jim Haxby. My previous research focused on familiar face perception, using psychophysics and neuroimaging methods (fMRI and MEG) with multivariate techniques (MVPA).
I’m an avid Python user and an enthusiast for open science. In my spare time I enjoy CrossFit, weightlifting, and coffee.