I’ve always been drawn towards learning how the parts of our world interact. This interest led me, first, to study economics as an undergrad to discover how something as complex as the U.S. (or the world) economy is broken down and understood. Becoming more fascinated with how large systems of all kinds are modelled and explained via data and mathematics, I went on to pursue a Ph.D. in theoretical physics at Northwestern University. My areas of focus were network science and complex systems, which are systems composed of numerous interacting components that exhibit behavior that cannot be predicted by only knowing the properties of the individual parts. Examples include electrical power grids, social groups, financial markets, deep learning models, and even physical materials.
After graduating, I returned to the business world, working on marketing strategy and operations in the tech sector. Now, my technical background supports my approach to technological and business challenges through a scientific lens, and I particularly enjoy using data-driven insights to understand and develop business strategy and tactics.
Outside of business, I continue to publish in scientific journals and enjoy cooking (and eating) cuisine from around the world.