My research experience began in my undergraduate studies in physics and mathematics. I did experimental work studying positron annihilation in materials to detect material defects. Next, I studied the solid state physics pertainig to complex magnetic materials. Computational physics and materials modeling was followed. I pursued this area of research into my graduate degree which is focused on computational materials science.
In graduate school I have found a new passion for artificial intelligence and machine learning. I have particulary focused my study in the area of Deep Learning, but am also interested in other biologically inspired AI approaches such as the hierarichical temporal memory theory of the brain put forth by Jeff Hawkins. I hope to help develop AI technologies that will assist in and accelerate the research process in all fields.
This page is dedicated to research that I am interested in. It includes the following elements: