​Data Analytics & Digital Twins

• Application of advanced machine learning algorithms to gain insights from large and complex datasets 

• Development of data pipelines to simplify your data analytics  

• Evaluation and modelling of a wide range of data from Process Analytical Technologies  

• Development of soft-sensors with machine learning models to correlate and predict Critical Process Parameters and Critical Quality Attributes

• Ensuring data compliance & integrity and implementation of ALCOA+ principles 

• Digital twins​

  • Mechanistic modelling of bioprocess unit operations 

  • Real-time control of CPPs and prediction of CQAs  

  • Development of novel control strategies for process optimisation 

  • Hybrid control strategies leveraging multiple data sources