Teaching Assistant

Monte Carlo Methods for Statistical Inference

Lund University
2025–2026

Topics include Monte Carlo integration, importance sampling, Markov chain Monte Carlo, Bootstrap and their applications in Bayesian inference.

Time Series Modeling

Lund University
2024–2026

Topics include stochastic processes, autoregressive models, forecasting, and state space modeling of time series.

Stationary Stochastic Processes

Lund University
2024–2026

Topics include covariance functions, spectral representations, Gaussian processes, stationary random fields and their applications in signal processing.

Scientific Computing I

Technical University of Munich
2022

Topics included numerical linear algebra, numerical methods for ordinary and partial differential equations.

Mentoring

I enjoy intellectually honest discussions with students in all matters scientific computing with a penchant for methodologies. A good place to start a conversation is to read an article from an issue of SIAM SISC and drop me an email to discuss it.