Live Webinar: Combining Data-Rich Experimentation with Modeling to Drive Productivity
Programme
- 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
Past Presentations
Using ReactIR for In Situ Tracking and Quantification of an Unstable Intermediate
Eoghan Delany - Senior Process Development Chemistry, APC Ltd
Data-Rich Experimentation for the Late-Stage Process Development of MK-1026
Morgan Crawford - Senior Scientist, Merck
Kinetic Modeling to De-risk Process Changes as a Part of Life-Cycle Management
Geoff Purdum - Principal Scientist, Chemical Process Development, Bristol Myers Squibb
