Workshop on Multivariate Data Analysis

Event date: 
Fri, 2017-08-18
Location: 
Singapore, Singapore

Join us for a daylong seminar with workshop on Multivariate Data Analysis (MVDA) and its applications in various fields including Process Analytical Technology (PAT).

Learn how to benefit from the latest multivariate analysis techniques, how to interpret complex data quickly and confidently, how to discover the secrets of overviewing data tables and how to build robust predictive models that turn data into decisions.

Meet the experts from Sartorius Stedim Data Analytics, where you get opportunity to have your questions answered by specialists in the area. You have opportunity to experience software tools to apply to your data, so you may bring your data and we show you how you can solve your challenges.

Last but not least, this is an excellent chance to meet others who might have been through the same challenges and find out how they solve it. Share your ideas and network with like-minded engineers and scientists.

The Worksop focuses on introducing concepts and hands-on exercises using real life data examples on various applications.

Who should attend

  • R&D: Process Development, Process Characterization, Optimization, Quality by Design (QbD), Analytics R&D, QA/QC, Omics (Metabolomics, Proteomics etc.)
  • Manufacturing: Process Engineer, Technical Operations, Process Troubleshoot, Tech Transfer, Process control and optimization, MSAT (Manufacturing Science and Technology), Process Analytical Technology (PAT)
  • Industry: Pharma, BioPharma, Semicon, Flat Panel Display, Chemical, Pulp & Paper, Food & Beverages; in general Process Industry
  • Key Words: PAT, CPV (Continuous Process Verification), Analytical R&D, Method Development, Process Development, Process Characterization, Tech Transfer, Process Troubleshooting, Annual Product Quality Review (APQR), Omics

Venue
Location will be communicated to registered participants later.

Registration Fee
SGD399

Registration Contact
Clare Tan; Phone +65.6872.3966; Clare.Tan@sartorius-stedim.com

Logistics
Participants need to bring own laptop
Software licenses (for practice session) will be provided in advance
Lunch, Tea/ coffee break will be provided

Program Agenda

Speaker’s Profile:

David Wang, Sr. Data Scientist

David Wang is a Senior Data Scientist at Sartorius Stedim Data Analytics based out of Singapore. David has a Ph.D. in Chemical Engineering, M. Eng. in Control Theory and Engineering, and B. Sci. in Mathematics and Statistics.
Before joining Sartorius Stedim Data Analytics in 2014, he was a research scientist at Institute of Chemical & Engineering Sciences (ICES), A*STAR, Singapore. Prior to ICES he worked as research fellow in the University of Sydney, Australia, where he was pursuing his PhD.
He mainly works on improving efficiency, optimality, and profitability for product development, process development, and manufacturing processes (Pharma, Biopharma, Chemical, Food & Feed, Life Sciences) by applying advanced data analytics technology, where the work is focused on data-driven modelling, process monitoring, process control, design of experiments, PAT and QbD.