Erik Weis is a Ph.D. student at the Network Science Institute at Northeastern University. His research focuses on developing non-parametric methods for analyzing complex data, with a focus on sociotechnical, political, and urban systems. He is also interested in how these methods can support the design of policy interventions. With real-world impact in mind, Erik is also thinking about how complex systems thinking can shape society at scale through digital platforms. His work is supported by an NSF traineeship on Plaforms for Exchange and Allocation of Resources (PEAR).

He previously completed his master’s in Complex Systems and Data Science at the University of Vermont, advised by Jean-Gabriel Young and Laurent Hébert-Dufresne, where he studied the impact of uncertainty on optimal interventions in networks. Before that, Erik was a developer working on quantum computing software, a math/physics teacher, and a cook.