Mechanistic modeling: getting started, a walk through ChromX™ software
Is your downstream process development workflow relying on experimental data alone, or are you leveraging mechanistic modeling? Gain a better understanding of effective modeling implementation to develop robust lab scale processes, enabling smooth scaling into cGMP manufacturing.
Join us to hear from industry experts in an engaging discussion with peer-to-peer insights. Make new connections and access advice and expertise from folks who are well versed in applying smart PD tools effectively.
• Deep dive into theory, how to select appropriate models
• ChromX overview - GUI, nomenclature, inputs/variables
• Live simulation with data import and optimization exercises
Thiemo Huuk is co-founder and Chief Executive Officer at GoSilico. Thiemo studied molecular biotechnology and in 2016 he received a PhD in bioengineering from the Karlsruhe Institute of Technology (Germany). During his PhD he collaborated with Roche Diagnostics on establishing tools for model-based process development of chromatography. The learnings from this work were later incorporated into GoSilico’s ChromX™ technology.
Nora Geng, Project Engineer, GoSilico, holds a master’s degree in bioengineering from Karlsruhe Institute of Technology. Since 2018, she works with GoSilico, being responsible for software trainings and GoSilico’s modeling services. Nora is an expert in model-based process development, and has an outstanding track record in modeling an extensive range of chromatography operations for a variety of biologics.
Tobias Hahn, Ph.D., is co-founder and Chief Executive Officer of GoSilico. He received his undergraduate education in computational mathematics and technical physics in Karlsruhe and Stockholm, earning his PhD in chemical engineering from Karlsruhe Institute of Technology. During his PhD, he utilized is background in mathematics and software development to create the chromatography simulation software ChromX™.