Joseph recently received his PhD from Northwestern University's Department of Engineering Sciences & Applied Mathematics. His research includes studying nonlinear phenomena in social, biological and physical systems, typically using dynamical systems frameworks to glean useful and/or unexpected insight from understandable models. He has worked on projects ranging from the development of name brand goods in the economy, to the origin of differences in sex cells (anisogamy), to the emergence of multimodal distributions in coupled oscillator systems.
With the addition of Dr. Johnson, CMPLXSYS 270 will be offered in both the Fall 2020 and Winter 2021 semesters, providing more opportunities for students to pick up this core course for the Complex Systems Minor.
Welcome to the Center Joseph!
From the LSA Course Guide - CMPLXSYS 270 - Agent Based Modeling:
Many systems can be modeled as being composed of agents interacting with one another and their environment. As a method, agent based modeling (ABM) can explain phenomena in the biological and social sciences, ranging from evolution to epidemic spread to flocking to cooperation to racial segregation in neighborhoods. Very simple rules governing agent behavior can lead to complex and emergent phenomena. In this course students will use NetLogo to examine and modify well-studied agent based models of complex systems, as well as formulate models of their own.