I solve business problems through the end-to-end implementation of machine learning products.
I have a BS in Mechanical Engineering from Mississippi State University, an MDiv from New Orleans Baptist Theological Seminary, and a PhD in Chemical & Molecular Engineering from Tulane University. My graduate research utilized programming, data science, and molecular simulations to study self-assembling molecules. After receiving my PhD, I worked as a postdoctoral research scientist at Columbia University where I studied polymer interactions and gas separation membranes using molecular simulations and machine learning.
More recently I was a fellow with Insight Data Science where I created a Chrome Extension to predict where a user would post their content. I currently am in a senior machine learning engineer role at a financial company.