I'm a software developer at the McGill Centre for Integrative Neuroscience (MCIN) working on tools to support neuroscience research. I have always been interested in how the brain works, and during my DEC in Liberal Arts in 2005, I gave my final seminar on Artificial Intelligence and training Multi-Level Perceptrons in 2005. I did a Master's degree at McGill University in the Probabilistic Vision Group (and built the website), and my thesis focused on building computer vision models in MRI images for Multiple Sclerosis patients to predict the natural course of the disease. I now spend my free time investigating deep learning models to solve problems in neuroimaging.

I play frisbee, tennis, squash, swim, canoe-trip and hike in the summer, and ski, snowshoe and play hockey in the winter. I play the flute, bass, and the piano.


I like brains, and I got scanned as a participant in a new MRI pulse sequence study. A surface reconstruction of my brain can be found below. The surface was computed using CIVET 2.0 in CBRAIN, and the visualization is done using BrainBrowser.

Here's a photo of my 3D-printed brain! This is the first one I did at 50% scale. It looks small, but all the neuroscientists tell me it's the connections that count!


Currently, I am mostly using Python with Keras to train deep convolutional neural networks to perform medical image segmentation and automatic quality control.

My professional experience has mostly been MVC web app development and image processing. I have work experience in Java, C++, Python, Ruby on Rails, and have done a little bit of JavaScript, MySQL and Mongo.


If you would like to reach me, you can email me, reach me on Twitter, or add me on LinkedIn