Jakob has an educational background in Food Science with a PhD in Food Technology/ Chemometrics. He has a vast amount of experience in applied data analysis in various industries and has worked with companies within pharma, biotech, food, feed and the chemical industry. Jakob works to obtain improved product and process understanding and optimization using DOE and MVDA.
- Design of experiments (DOE)
- Process analytical technology(PAT)
- Multivariate data analysis
- Multivariate batch process modeling
- Quality by Design (QbD)
- Statistical process control (SPC)
- Lean Six Sigma
What's your view on the industry?
"There are a lot of opportunities to get more value out of obtained data - especially in pharma production, where a huge amount of data is stored and not necessarily used. Exploring and using this data for better control and optimization can lead to real-time release and manufacturing intelligence solutions. Relevant tools include Six Sigma statistics, simple visualization, more advanced multivariate data analysis, or machine learning techniques. However, this should not be implemented as black-box modelling, but in dialogue with Subject Matter Experts."
Why do you work in this business?
"To explore opportunities and help the pharma industry move towards a more data driven approach. Both the challenges and the financial incentive exist to get pharma into the Industry 4.0 domain."