Teaching

Machine Learning in Chemical Engineering (lectures)

Masters-level course, Otto von Guericke University, 2024

I served as the main lecturer for this Masters-level (1 semester-long) course introducing chemical engineering students to the field of ML (e.g., linear and generalized linear models, ANNs, kernel methods, hybrid semi-parametric modeling, clustering and dimensionality reduction). As part of the development of this course I lead the development of the Machine Learning in Chemical Engineering JupyterBook. Semesters in which I have been the main lecturer:

  • Summer semester 2022
  • Summer semester 2024

Process Systems Engineering (tutorials)

Masters-level course, Otto von Guericke University, 2022

I served as a teaching assistant (TA) for this Masters-level (1 semester-long) course delivering tutorials on mass and energy balance and numerical methods for solving ODEs. Semesters in which I have been TA:

  • Winter semester 2019
  • Winter semester 2020
  • Winter semester 2021
  • Winter semester 2022

Machine Learning in Chemical Engineering (tutorials)

Masters-level course, Otto von Guericke University, 2021

I served as a teaching assistant (TA) for this Masters-level (1 semester-long) course delivering tutorials on ML applications to chemical engineering systems (e.g., thermophysical property prediction, fault detection, hybrid semi-parametric modeling). Semesters in which I have been TA:

  • Summer semester 2020
  • Summer semester 2021