Research at the intersection of probability theory, network science, and applied statistics.

• Markov chain methods for networked systems
• Random walks with edge weights and their optimization
• Probabilistic models for infrastructure failure analysis
• Quasi-stationary distributions and opinion dynamics

Specialization in Operations Research Theory, thesis titled "A Fundamental Approach to the Kemeny Constant, and the Mean and Variance of the First Passage Times in Time-Weighted Markov Chains"

Thesis on metastable behavior in a Gani SIS epidemic model, supervised by Floske Spieksma. This work explored quasi-stationary distributions and two-timescale convergence phenomena.