Research Interests

I am a postdoctoral fellow at the University of Washington, appointed within the Department of Health Metrics Sciences and affiliated with the Institute for Health Metrics and Evaluation. My academic interest is applying mathematical models to problems related to public health and health policy. Currently, I build computational tools to assist policy makers with planning strategic decisions for eliminating and controlling malaria. I work with David L. Smith's research team at IHME.

Current Projects

  • Human Travel Patterns and Imported Malaria Cases
  • Characterizing Spatial Uncertainty for Policy
  • Modeling with Human Travel Data

Previous Projects

As a PhD student in the field of Physics at Cornell University, I worked on several projects related to complex networks. One set of projects focused on network epidemiology. Another set of projects focused on data-driven explorations of publishing practices in the scientific community.

  • Infectious Disease Dynamics on Networks
  • I studied how contact network structure changes critical community size for models of endemic disease, using simulation models and analytical techniques to show how degree heterogeneity could affect how long endemic disease is able to persist. I built software in Python and in Julia as simulation tools. From the simulations I was able to show mathematics I accompanied the simulations with moment closure analysis of an analogous Markov Chain model. Slides from NetSci 2016.
  • Network Assembly of Scientific Communities
  • I combined natural language processing techniques with social network analysis techniques to explore how scientific collaboration networks form and assemble over time. I used topic modeling to sort the scientific articles contained in two corpora -- the arXiv and the Web of Science -- according to their scientific subject matter. I then analyzed how the structure of the co-authorship networks corresponding to each scientific sub-community evolved over time. See our published article here. This project started as part of a collaboration during the 2015 Complex Systems Summer School at the Santa Fe Institute.
  • Measuring Plagiarism on arXiv
  • I used social network analysis methods to explore how common it is for authors who submit articles to the arXiv to re-use text from previous publications. This project was motivated by a series of occurrences of fraudulent re-use of text previously published scientific publications. By analyzing the text overlaps between each pair of articles in the arXiv, we were able to show that habitual text re-use is restricted to a minority of offending authors, and that there was a negative correlation between the reused text contained in a paper and the number of citations it received. See our published article here.


Code for Simulations

I am committed to sharing any and all research-related code. I have developed a few different scripts for simulating disease outbreaks on networks of social contacts.

GitHub repository here »


Teaching and Outreach

View my teaching portfolio here »


Current CV

View my current CV here »

LinkedIn profile here »

Please feel free to contact me if you have any questions: