Combining Data-Rich Experimentation with Modeling to Drive Productivity
Übersicht der Inhalte
- Case studies from key industry players
- Recent work with data-rich experimentation and kinetic modeling
- Live Q&A with industry experts
This free online event is for chemists and engineers who are interested in obtaining a deeper understanding of their processes at every scale to deliver increasingly complex processes under compressed timelines.
Topics include:
- Use of automation to increase the information density of every experiment
- Innovative problem-solving tools to avoid "trial and error experimentation", which carries a significant risk of failure
- The use of predictive process modeling that can be built quickly and allows users to remain focused on process goals
Previous Presenters
Kinetic Modeling of Oligonucleotide Systems
Lizzie Boulter, Senior Scientist - AstraZeneca
Data-Rich Experimentation and Kinetic Modeling to Enable Quick and Flexible Process Development for Antibody-Drug Conjugates
Jan Riedel, Ph.D., Principal Scientist - Pfizer
Streamlining Sanofi’s Process Modeling for Drug Substance Manufacturing for Scale-Up Success
Reza Amirmoshiri, Ph.D., Principal Scientist in Drug Substance Process Engineering - Sanofi
