Dylan Weber is a PhD candidate in applied mathematics in the School of Mathematical and Statistical Sciences at Arizona State University. He also holds a BA in mathematics and a BA in theoretical physics from St. Mary’s College of Maryland. On the theoretical side, his research is concerned with interacting particle systems on networks and collective dynamics. In this arena, his work is mainly focused on the phenomena of consensus. Additionally, he is interested in applying machine learning and other data techniques to leverage lessons learned from theory in real-world applications.