Final Thesis

Advanced Model-Based Optimization Strategies for Biopharmaceutical Manufacturing

Key Info

Basic Information

Process Systems Engineering
Focus/Key Topic:
starting now


Monoclonal antibodies (mAbs) represent the fastest growing product of the biopharmaceutical industry with both diagnostic and therapeutic purposes (e.g. cancer treatment). As an alternative to expensive and time-demanding experimentation, model-based approaches for optimization and control purposes of mAbs are gaining increasing attention.

In this thesis, the student will work on optimization strategies of a predictive model for mAb production, as part of our collaboration with Imperial College London for model-based optimized mAb production. The software tools expected to be used are gProms and/or Modelica, Matlab and/or Visual Studio and DyOs. First, the student will perform a small literature review on the topic and the current challenges, while getting familiar with the model and the use of the above-mentioned programs. In a next step, the student will perform parameter estimation for identification of the significant parameters in model building. The main part of this thesis will be optimizations using gProms and DyOs and a comparative analysis of their performance.

Desired Background:

  • Successfully passed exam in “Angewandte Numerische Optimierung” or a similar lecture in optimization.
  • Basic programming skills (e.g. C++, Matlab, etc.).
  • Basic knowledge in biochemical engineering is welcomed yet not required.
  • Interest in applied mathematics, biological processes, programming and optimization.

Supervision can be provided in either English or German. The thesis should be written in English.

In case you have any further questions or if you are interested in the subject, please feel free to contact me.