Core team:


Alexander Daniels

University of Vermont

Complex Systems Center, PhD Candidate in Complex Systems and Data Science

After being introduced to complex systems research as an REU student at The Santa Fe Institute, I began to seek a course of study that would give me the vocabulary needed to capture the essence of many-agent systems. I am eager to use the foundation I have acquired as a master's student in physics to help answer the questions: What general principles regulate the evolution of complex systems? How can we use our understanding of the physical, biological, psychological, mathematical, and social realms to elucidate these principles? How can we capture the behavior of interconnected systems at all scales? How can we revolutionize "doing science" by utilizing cutting-edge techniques in data science? And, what structures are embedded in large sets of data? Advisors: Laurent Hébert-Dufresne, Jim Bagrow