Hi, I’m Erik, a Ph.D. student at the Network Science Institute at Northeastern University. My research focuses on developing non-parametric methods for analyzing complex data, with a focus on sociotechnical, political, and urban systems. I’m also interested in how these methods can support the design of policy interventions. With real-world impact in mind, I am thinking about how complex systems thinking can shape society at scale through digital platforms. My work is supported by an NSF traineeship on Platforms for Exchange and Allocation of Resources (PEAR).
I previously completed my master’s in Complex Systems and Data Science at the University of Vermont, advised by Jean-Gabriel Young and Laurent Hébert-Dufresne, where I studied the impact of uncertainty on optimal interventions in networks. Before that, I was a developer working on quantum computing software, a math/physics teacher, and a cook. I’m originally from Fort Lauderdale, FL and I studied physics at Dartmouth College.
In my spare time, I like playing the piano, getting outside, and seeing live jazz.
News
- Attended the Complex Systems Summer School at the Santa Fe Institute.
- Poster presentation at NetSci 2026, “A nonparametric model for tabular data”.
- Invited talk at the Complexity Science Hub, “Disentangling geometric and categorical patterns in spatial network data”.
- Invited talk at CEU’s Department of Network and Data Science, “Learning multi-mechanistic patterns from complex data”.
- New pre-print, “Message passing for epidemiological interventions on networks with loops”.
- New pre-print led by David Liu, “Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations”.
- Contributed talk at IC2S2 2025, “Regionalization via nonparametric community detection in spatially embedded networks”.
- Tutorial at Complexity 72h, “An introduction to the minimum description length principle”.
- Contributed talk at NetSci 2025, “Regionalization via nonparametric community detection in spatially embedded networks”.
- Started my Ph.D. at the Network Science Institute.
- Contributed talk at NetSci 2023, “Decision-making in uncertain networks via dynamic importance”.