Center of Excellence for Biopharmaceutical Technology (CBT)

Event date: 
Wed, 2017-12-06 to Fri, 2017-12-08
Location: 
IIT Delhi, New Delhi, India

Come and meet us at CBT, that we are attending to learn more about Design of Experiments and Mulitivariate Data Analysis.

Our senior data scientist David Wang will be presenting at the conference, Dec 7th. on the following:

Multivariate data analysis for bioprocessing data: concepts and case studies

Description: 
Biopharma and biotech manufacturing today involves larger and larger masses of data. Correct management of these data can give us valuable insights to process development as well as production, help us understand the progress of a batch and also point us in the right direction to troubleshoot. By applying state-of-the art data analysis technologies in the biopharma production the time for fault detection and diagnosis in production can be significantly reduced. In one recent example, a company identified the cause of a cell culture problem about a month earlier than it otherwise might have. For that biologic product, making the fix early and not losing that month saved $2.4 million. The course will present fundamental theory and practice of Multivariate Data Analysis (MVDA) within the framework of PAT to improve quality and throughput, as well as hands-on exercises on how MVDA should be used in process development and production.

OUTLINE:
8.30-9.00: Breakfast

9.00-10.30: Introduction to MVDA (Dr. David Wang, Sartorius Stedim)
Principal Component Analysis (PCA)

  • Explanation
  • Score plot & Loading plot
  • Diagnosis of observations, variables and model

10.30-10.45: Break

10.45-12.00: Hands on exercises (Dr. David Wang, Sartorius Stedim)

  • Main Steps of data analysis with SIMCA
  • Case study: European foods pattern
  • Case study: Raw materials characterization

12.00-12.30: Case Study: Analysis of cell culture data (Sumit Singh, IITD)

12.30-13.30: Lunch

13.30-15.00: Partial least squares (PLS) and orthogonal partial least squares (OPLS)
(Dr. David Wang, Sartorius Stedim) 

  • Explanation
  • Case study: Developing Calibration Model in Spectroscopy

15.00-15.30: Break

15.30-17.00: How to build batch models (Dr. David Wang, Sartorius Stedim)

  • Batch evolution model & batch level model
  • Case study: Modelling Baker’s Yeast Fermentation for Process Monitoring

17.00-17.30: Case Study: Analysis of manufacturing data (Vishwanath Hebbi, IITD)

17.30-18.00: Discussion and Wrap-up

Download the full program or register here