KIWI-biolab Talk: Machine Learning & Hybrid Modeling

In the frame of the series „KIWI-biolab talk“ Prof. Jarka Glassey will give a talk on Thursday, April 20^st, at 17:00 (Brussels time) entitled „Preparing the next generation of chemical engineers for the transition to net zero/circular economy”.

About the talk
The use of advanced modelling and control procedures is becoming widely accepted across a broad range of industrial sectors, including bioprocessing. However, significant challenges remain using these methods in the information limited development environment, particularly when complex biological molecules or processes are involved. This is especially evident in cell culture processing for production of a range of products, such as monoclonal antibodies, where knowledge of critical quality attributes is limited.
This presentation will highlight some advances in this area through examples of model-based bioprocess development and advanced process monitoring to assist those who are seeking to make fundamental changes to the drug manufacturing philosophy. Whilst using monoclonal antibody production as an example, some modelling techniques will be demonstrated on other suitable processes.

Biography

Prof Jarka Glassey completed her biochemical engineering studies at the Slovak Technical University in Bratislava and currently works at Newcastle University, UK. Her research approach is based on the use of machine learning, AI and hybrid modelling for bioprocess development, scale-up and process intensification. She is currently VP Executive of EFCE and VP Executive of ESBES and is actively involved in the EFCE working party on Education, WP on QbD as well as the measurement, modelling, monitoring and control section of ESBES.

Access to the talk
The talk is open to everybody and no registration is required.
Join by clicking the ZOOM Link.

The KIWI-biolab is a future bioprocess lab located at the Chair of Bioprocess Engineering at TU Berlin, which is a member of the Bio-PAT network. The KIWI-biolab – Künstliche Intelligenz für Wissensbasierte Integrierte Biolabore – connects international top scientists in artificial intelligence, machine learning and bioprocess engineering to explore the opportunities and challenges of automation in biotechnological processes.

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