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@nipy @PyMVPA @HaxbyLab @neurohackweek @duecredit @ReproNim
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Hi there πŸ‘‹

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.


  1. Automated collection and reporting of citations for used software/methods/datasets

    Python 191 23

  2. Pycortex is a python-based toolkit for surface visualization of fMRI data

    JavaScript 385 115

  3. A flexible DICOM converter for organizing brain imaging data into structured directory layouts

    Python 140 83

  4. A setup for automatic generation of shareable, version-controlled BIDS datasets from MR scanners

    Roff 36 10

  5. MultiVariate Pattern Analysis in Python

    Python 285 123

1,421 contributions in the last year

Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr Mon Wed Fri
Activity overview
Contributed to mvdoc/budapest-fmri-data, gallantlab/pycortex, nipy/nipy and 5 other repositories

Contribution activity

April 2021

Created 1 commit in 1 repository
Opened 1 pull request in 1 repository
Reviewed 1 pull request in 1 repository
gallantlab/pycortex 1 pull request
144 contributions in private repositories Apr 1 – Apr 22

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