This one-week seminar will give insights into the current state of the art of digitalisation, and how it will influence the future of chemistry, chemical engineering and process development.
In recent years, computer assisted techniques have been integrated into chemical processes and are especially beneficial in drug discovery and toxicology. Using molecular modelling software for simulation of ligand molecules in receptors is already well established in industry, but digitalisation offers far more: structural databases, computer-assisted retrosynthesis, artificial intelligence in drug development, fully automated synthesis and other applications will change the way we work in the future.
- Molecular Modelling/Simulation of Receptors using Schrödinger’s Maestro Software
- Databases and data integration with Extract, Transform and Load (ETL)
- Drug discovery: examples and case studies
- Extended reality (Augmented and Virtual)
- Laboratory Automatisation and Robotics - fully automated laboratories
The morning sessions include presentations, lectures and case studies while the afternoons are dedicated to topic workshops. During the week there will be one or two excursions to see applied digitalisation and automatisation at work in an industrial setting. Requirements: Bring your personal notebook.
- Prof. Sebastian Wendeborn, Prof. Christian Kronseder, Dr. Sina Saxer (FHNW School of Life Sciences)
- Dr. Mila Krämer (Schrödinger)
- Dr. Reto Grob (augmentIT AG)
- Dr. Andrew Frei (Neo4j, Inc.)
- Illyan Uzunov (Ontotext Inc.)
- Dr. Christoph Boss, Dr. Julien Hazemann, Dr. Joel Wahl, Christoph Sager (Idorsia AG)
- Dr. Marco Stenta (Syngenta)
- Dr. Guillaume Malcouronne (Chemspeed Technologies AG)
External Participant/Industry: 800CHF/week
External Participant/ Industry (daily fee): 250CHF/Day
External students: 400CHF/week**
Seminar fees include lunch but no travel cost
**No ECTS are issued, externs & students receive a certificate for participation
The seminar is aimed at employees of the chemical and life sciences industry and students at BSc, MSc and PhD Level with a background in (Life) Science.