Reaction Modeling with Data-Rich Experimentation

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

Lizzie Boulter

Kinetic Modeling of Oligonucleotide Systems

Lizzie Boulter, Senior Scientist - AstraZeneca

Jan Riedel

Data-Rich Experimentation and Kinetic Modeling to Enable Quick and Flexible Process Development for Antibody-Drug Conjugates

Jan Riedel, Ph.D., Principal Scientist - Pfizer

Reza Amirmoshiri

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

Additional Resources

establishing a model from kinetic data

Optimize Processes with Data-Rich Experimentation and Kinetic Modeling

Unlock the full potential of your chemical processes with the innovative combination of data-rich experimentation and kinetic modeling for faster, mor...

Precise Measurement and In-Depth Understanding of Reaction Kinetics and Thermodynamics

Real-Time FTIR and Kinetic Modeling for Process Optimization

This white paper showcases the benefits of combining real-time FTIR spectroscopy (ReactIR) with kinetic modeling software (Reaction Lab and Dynochem)...

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