Live Webinar: Combining Data-Rich Experimentation with Modeling to Drive Productivity
Program Overview
- 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
Guest Presenters
Data-Rich Experimentation and Kinetic Modeling to Enable Quick and Flexible Process Development
Jan Riedel, Principal Scientist - Pfizer
- Bioprocess Optimization with PAT and Modeling
- Practical Approaches to Crystallization and Particle Engineering
- Continuous Flow Process Optimization and Control
- Chemical Process R&D
- Digital Transformation in Chemical Engineering
- Process Safety in Scale-Up
- Transitioning Towards Sustainable Chemical Process Technologies