Summer 2026 – Advanced Process Data Analytics Course Switzerland
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Zurich, Switzerland
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June 15-17, 2026
Course Motivation
This course aims to provide an overview and advanced insight into data analytics and modeling methodologies for process data.
The lectures will present fundamental concepts to visualize high-dimensional and highly correlated process and product quality data, identify the important process drivers, and forecast the process and product quality behavior.
Hands-on and brainstorming sessions will be used to solve case studies from the (biopharmaceutical) industry. After the course, the participants will be aware of relevant techniques and literature for process data analysis and will be able to evaluate different analysis paths for a given problem.
Who should attend?
The target group of the course encompasses scientists and engineers from academia and industry who encounter or are working with (bio)process data.
The course shall motivate to utilize the presented techniques in ongoing and perspective projects. Previous experience in data analysis can be advantageous but is not mandatory.
Michael is an expert in bioprocess modeling and a regular speaker at international conferences on the potential of smart digital pharma solutions. He conducted his research in close collaboration with the pharmaceutical industry and co-authored more than 25 publications.
Alessandro has long-standing research experience in polymer separation and biotechnological processes and several years of experience in the pharmaceutical industry. He is a co-author of more than 70 publications and four patents.
Harini is an expert in machine learning and hybrid modeling for bioprocesses, with a strong academic career complemented by extensive industrial collaboration. She has co-authored numerous publications applying machine learning methodologies across a wide range of biomanufacturing applications.