I am a computational neuroscience postdoc at Northwestern University, with 10+ years experience in computational science.
I work at the intersection of neural data analysis, machine learning, and theories of neural computation. I design experiments with experimental labs, analyze neural data, and write academic papers to communicate insights about brain function. Here is my personal homepage.
I also develop software for reproducible data analysis. In particular, I'm working on a Python implementation of elastic net regularized generalized linear models (GLMs). Github repository. Documentation.
Saturday 3:15 PM–4:00 PM in Room 1