I am a Postdoctoral Researcher with the Network Science Institute at the Roux Institute at Northeastern University. I received a Mathematical Sciences Ph.D. from the Vermont Complex Systems Institute at the University of Vermont (UVM). While at UVM, I worked in the Joint Lab and Computational Story Lab. My research has mostly focused on network science applied to infectious disease. This led me in the direction of mathematical methods for networks, specifically stochastic models that involve branching processes.
Along with my interest in disease dynamics, my technical skills have made it possible for me to understand and learn about various aspects of the complex world around me, whether that be applied to biometric data, air-travel networks, or snow fall data.
Research Interests
- Mathematical models for complex systems
- Stochastic modeling
- Disease dynamics
Recent News
June 2026: Presented a talk titled Generating function framework for spatiotemporal outbreak analytics at NetSci 2026 in Boston.
December 2025: Presented a poster titled Modeling and optimization of multimodal travel-based surveillance at airports at Epidemics10 in San Diego.
February 2025: Presented Modeling disease spread with probability generating functions at the WiNS online seminar.
September 2024: Started as a Postdoctoral Researcher with the Modeling of Biological and Socio-technical Systems Lab and the Network Science Institute at the Roux Institute at Northeastern University in Portland, ME.
July 2024: Successfully defended my dissertation, Probabilistic modeling of disease: Addressing uncertainties in within-host and population-level dynamics.
June 2024: Presented joint work, Temporal and probabilistic comparisons of epidemic interventions, at NetSci 2024 in Québec City.