I am currently a Data Science Fellow in the Insight Data Science program, where I am honing my skills in analytics and machine learning in order to transition from academia to industry. Previously, I was a Lab Manager and Postdoctoral Associate in the Physics Department at Duke. I received a PhD from Caltech in Materials Science, where I studied glassy materials and their mechanics. I love complex networks: from wooden puzzles and grains of sand, to glasses and neural networks. What these diverse subjects have in common is their ability to remember. Piles of sand, just like our brains, can have a memory of the past through their complex fabric of contacts!
I believe that these networks will transform how we understand the world. Outside of research, I use machine learning to make models that try to: recommend games to groups, predict NBA player performance, and learn what perfumes smell like. In my free time, I am an avid baller - currently repping a pair of the Westbrook Why Not?'s. I also enjoy taking pictures and traveling (outside of basketball).