Education
PhD in Applied Mathematics
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
MSc in Econometrics and Operations Research
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"
BSc in Mathematics
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.
Technical Skills
Mathematical Methods
Markov chain theory, spectral methods, Monte Carlo simulation, Bayesian inference (HMC/NUTS), stochastic optimization
Areas of Expertise
Probability theory, network science, applied statistics, social network analysis, reliability engineering
Teaching
Teaching Assistant @ VU
Mathematical Optimization, Performance of Networked Systems, Project Optimization of Business Processes, and Financial Mathematics