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.
|Sep 13, 2021||We gave a Keynote+Tutorial at CCN2021 on Voxelwise Modeling. The recording is available on youtube.|
|Feb 9, 2021||The paper describing the Open Brain Consent initiative is now published in Human Brain Mapping.|
|Nov 27, 2020||New preprint describing a new hyperalignment method: hybrid hyperalignment.|
|Nov 10, 2020||The paper describing the Grand Budapest Hotel dataset was published in Scientific Data.|
|Aug 30, 2020||I finally upgraded my website to a more pleasing Jekyll theme.|