Boehringer Ingelheim – The Quest for the Golden Batch
Sponsored by: OSIsoft
- Multivariate Data Analysis
- Golden Batch Technology
Date: 5 September
Time: 3PM London/10AM New York
Using Multivariate Data Analysis to Pursue Golden Batch Technology in Animal Health
The story of pharmaceutical production is often a quest for the golden batch: a repeatable process that consistently produces the optimizes yield and quality. Recently an animal health subsidiary of Boehringer Ingelheim—a top international pharmaceutical company—began collaborating with OSIsoft and Sartorius Stedim Data Analytics on a project that uses multivariate data analysis techniques (MVDA) to create golden batch trajectories based on historic data. These golden batch trajectories could then be used for real-time monitoring and prescriptive process control for higher potency batches.
Watch this webinar to see how data science and OSIsoft’s PI System have enabled advanced batch evolution modelling so that Boehringer can now see things as they are happening or even before they happen with each batch.
Principal Data Scientist, Boehringer Ingelheim
• Four years: Advanced Analytics and Data Science, Process Optimization and Multivariate Statistics
• Five years: Process Validation Lead: Control Strategy Summary and Continued Process Verification
• Three years: Pharmaceutical Stability Coordinator
• Two years: HPLC Assay Development
B.S. Biochemistry: Missouri Western State
Masters of Science: Predictive Analytics, Northwestern University.
Advanced Certifications: Six Sigma, Project Management, BioStatistics, Quality Risk Management.
Lead Data Scientist, Sartorius Stedim Data Analytics
Chris McCready is Lead Data Scientist at Sartorius Stedim Data Analytics Umetrics SIMCA-online
Industry Principal, OSIsoft
Petter Moree has a M.Sc. in technical chemistry with a specialization towards chemometrics and data science and works globally with most of the leading pharmaceutical companies and strategic partners in the OSIsoft partner ecosphere.
Petter joined OSIsoft in October 2015 as the Industry Principal for Life Sciences, Food & Beverages and Specialty Chemicals, ensuring these markets obtain optimal value through their use of the PI System. Petter is based in southern Sweden and works globally with most of the leading pharmaceutical companies and strategic partners in the OSIsoft partner ecosphere.
Petter has a M.Sc. in technical chemistry with a specialization towards chemometrics and data science. After his M.Sc. from Umea University, Sweden, Petter joined Umetrics in 1999, where he worked for 17 years with customers in various markets for example Pharmaceutical, Pulp & Paper, Automotive, Semicon and chemical and with applications such as PAT, QbD, early fault detection, predictive analytics, MPC and CPV. Petter was Product Manager for Umetrics' portfolio, including SIMCA, SIMCA-online and MODDE, and later became their global sales director.
Key Learning Objectives
- How to produce a high quality vaccine and minimize production and compliance risks
- Usage of predictive analytics when creating and batch evolution models
- What role operational data plays in developing a golden batch trajectory
- Process operators
- Quality Assurance