Purposeful automation
Automate repetitive or information-limiting operations, not scientific judgement.
Research area 04
Automation and analytics
Turning experiments into connected, information-rich process-development workflows.
Automation is most valuable when it improves experimental quality and scientific decision-making. The group develops automated sampling, reaction monitoring and integrated analytical workflows that generate reliable data while reducing repetitive manual intervention.
Scientific questions
Questions that shape the work
- 01
Which measurements are needed to make the next useful experimental decision?
- 02
How can sampling and analysis be integrated without disrupting the process?
- 03
What level of automation is justified by the scientific question and development stage?
- 04
How can data quality, provenance and repeatability be preserved across an experimental campaign?
Established expertise
Demonstrated capabilities
Automated reaction screeningRapid and scheduled autosamplingInline and online analysisProcess analytical technologyExperiment orchestrationData capture and provenanceReproducible parameter studiesSelf-optimisation concepts where scientifically justified
Approach
How the problem is addressed
Integrated measurement
Connect sampling and analytical feedback to the experiment design.
Reproducible evidence
Capture conditions, timing, samples and outputs in a form that supports comparison and transfer.