During the last years, I did a lot of teaching and seminars. Here, you can find a non-exhaustive list.

---

---

R Course for Epidemiologists (Programming course, M.Sc program)

• I port the course to quarto right now to have everything at one place (independet of moodle).
• Material can be found here . A lot of changes are done right now...

---

Probabilistic Machine and Deep Learning / Uncertainty Quantification in Deep Learning (Seminar, M.Sc program)

• Past topics I have supervised:
• Bayesian Neural Networks
• MCMC, Stochastic gradient Langevin dynamics, Hamiltonian Monte Carlo
• Bayes by Backprop and Variational inference

---

Applied Deep learning (Project style course, M.Sc program)

• Past topics I supervised:
• Implementation of Stein Variational inference in JAX with application to financial data
• Stein Variational inference in Blackjax: Experiments and extensions.

---

Statistical Methods in Epidemiology (Course, M.Sc program)

• Course content varied over the years. List of topics:
• Causal inference
• Measurement error
• Survival analysis
• Infectious disease modeling
• Chronic disease modeling

---

Applied Statistics in Epidemiology (Seminar, M.Sc program)

• Seminar about statistical methods in Epidemiology. Topics I supervised:
• Causal inference
• Bayesian Clinical trials