Hello, I’m Uriah, an Applied Physics PhD student at The University of Michigan, Ann Arbor. I work with Professor Scott Page at UM’s Center for the Study of Complex Systems (CSCS). Because two of my projects heavily rely on natural language processing, I also work closely with the Language and Information Technologies (LIT) group ran by Rada Mihalcea. My thesis work mainly falls under a field known as computational social science. I focus on applying techniques from statistical physics, math, computer science, and engineering to social systems. Statistical mechanics has been successful at connecting microscopic properties of a system (e.g., particle interactions) to macroscopic quantities (e.g., temperature and pressure). We can think of productivity of a firm, or the economy as being our macroscopic quantity of interest, while thinking of the individual people as “particles”. In this formulation the mathematical techniques of statistical physics are very useful. More information about my research can be found on the research tab.
Other areas of interest
I am also interested in Artificial Intelligence, especially recent developments in deep learning and reinforcement learning. I’ve explored these interest via personal projects and course work. Most of my studies have been using online resources. I’ve completed Udacity’s Deep Learning Nanodegree (with a certificate) and I’ve included projects I completed throughout the course along with some links to resources I found useful on my personal personal projects page. Additionally, I’ve also completed self studies of courses like Stanford’s CS231n and the Deep RL Bootcamp.