I am an associate data scientist at the Flatiron Institute Center for Computational Neuroscience (CCN), working to make computational neuroscience more open, cumulative, and reproducible. I work on open source software packages, help the researchers at CCN share their code and data so that others can use it, and write tutorials and documentation to this end. You can read more at the NeuroRSE group page, and check out Software for some details on the software projects I work on.

Previously, I was a PhD student at New York University's Center for Neural Science, where I researched the processing of visual information with Eero Simoncelli and Jon Winawer. I used computational models and functional magnetic resonance imaging to investigate how the early visual cortex processes and represents visual information. Beyond my main research, I was involved with the Scientist Action and Advocacy Network since it's founding.

This blog is a way for me to practice writing about and explaining my research in various levels of detail, because science is complicated, writing about things help me understand them better, and practice is always helpful. I'll also write about neuroscience more broadly, as well as statistics, python, open science, and other science-related topics.

Before starting my PhD, I worked with Scott Huettel and Guillermo Sapiro at Duke University as a research assistant. While there, I used multi-variate pattern analysis of fMRI to investigate the neural correlates of social decision making. We used machine learning decoding methods to identify locations in the brain that could be used to predict whether someone was playing against a human or a computer, and what kind of strategy they were using. I also worked with Wang Suiping at South China Normal University in Guangzhou, China as a Luce Scholar, using graph theoretical analyses to understand differences in network properties of brain functional networks during reading in English and Chinese for bilinguals. As an undergraduate, I worked with Pat Simen at Oberlin College on a model of human behavioral performance in a two-alternative forced choice task.

This blog is made with pelican using a slightly modified version of Alexandre Vicenzi's Flex theme.

A pdf of my CV can be found here, but it's most likely not up-to-date.