SC8: Model-based Solutions for Digitalization and Automation in Bioprocessing - What Data, Expertise and Software Do I Need?
Instructor: Alessandro Butte, PhD, CEO, DataHow and Lecturer/Sr Researcher, ETH Zurich
TUESDAY, AUGUST 13 | 6:00 – 8:30 PM | Dinner provided
ABOUT THIS COURSE:
The aim of this course is to provide an overview and advanced insight into process data characteristics and analysis methodologies.
It will cover important perspectives on data organization and pretreatment, basic and advanced analysis methodologies and software solutions as well as central expertise and domain knowledge to be included into the assessment of process data. The course
will combine an introduction into central concepts and their application to cases studies from industry. The goal is to reveal the large potential of data- and knowledge-driven solutions to create value from data in the bioprocessing domain.
WHAT YOU WILL LEARN:
- The potential of data analytics and digitalization in bioprocessing
- Broad variety of data and corresponding analysis techniques: at-line and online process data, spectral data, product quality data
- Multivariate methods and software for process visualization and prediction
- Limitations of linear tools and added value of advanced fused models as well as hybrid combination of data- and knowledge-driven approaches
- Introduction into advanced software package DataHowLab
- Industrial case studies from process development and production in USP and DSP
WHO SHOULD ATTEND?
The target group of the Short Course encompasses scientists and engineers from academia and industry who encounter or are working with (big) 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 to follow the course.
Alessandro Butté received his MSc. at Politecnico di Milano (Italy) and his Ph.D. at ETH Zurich (Switzerland) in Chemical Engineering. After a postdoc at the Georgia Institute of Technology (USA), he join ETH Zurich as senior scientist. In
2008, he joined Lonza as head of downstream technologies in the sectors small molecules and peptides and, later, as project manager. He was also involved in the pilot program to introduce Quality by Design. In 2013, he joined back ETH as lecturer
and, in 2017, he founded DataHow AG. He is author of more than 60 papers on international peer reviewed journals and several patents. In 2015 he completed an executive MBA at the University of St. Gallen.