Teaching & Supervision

Download Logistic regression presentation slides

Instructor

• Markov Processes and Their Convergence Issues (Ph.D. Level Course)
  Co-designed the course and delivered some lectures for this course alongside the participating Ph.D. students. The curriculum covered foundational and advanced topics including irreducibility, Lyapunov conditions, geometric ergodicity, coupling, Hamiltonian Monte Carlo (HMC), Langevin Monte Carlo (LMC), and their convergence properties.

Teaching Assistant

• Scientific Computing
  Conducted hands-on laboratory sessions focusing on implementation of numerical methods using MATLAB and marked the exam scripts (>200).
• Statistics
  Assisted with tutorials and led lab sessions using R, and marked the statistical reports made with Markdown.
• Vector Calculus
  Handled problem-solving sessions.

Supervision

Ph.D. Students

• Piers Hinds (University of Nottingham)
  Served as assistant co-supervisor. Joint Paper

Master's Theses

Supervised the following Master's theses at Chalmers University of Technology:

• Qiba Lu: "Piecewise Diffusive Score-based Generative Model" Link to thesis
• Jonathan Borsandar: "Interacting particle systems for constrained optimization" Link to thesis
• Gabriel Vevang: "Diffusion based interacting particle system for optimization" Link to thesis