Forschungsseminar: Vortrag von Dr. Marco Stenta, Hochschule für Life Sciences FHNW

This talk tells the story of how Syngenta learned to turn day to day synthetic chemistry into reusable, high value experimental data - and how that data now feeds back to improve the next generation of synthesis.

Dr. Marco Stenta will describe the shift from documenting work after the fact to capturing structured data while scientists execute experiments, using a new data capture platform that replaces the traditional ELN.

Beyond improving execution efficiency and consistency in the lab, the system generates high quality, machine readable data that powers informatics capabilities such as search and retrieval, similarity and precedent analysis, and availability/feasibility insights, and also enables training predictive models.

He then shows how these data products, search tools and models, support scientists in designing new synthetic experiments through faster access to prior knowledge and more data driven, model enabled decision making.

A key theme is the platform’s innovation: it introduces an explicit design stage for experiments, treats synthetic routes (not just individual reactions) as first class objects, embeds data and models as a systematic part of the workflow rather than an optional add on, and delivers an integrated yet highly modular solution.

The presentation connects chemical science, informatics/technology choices, and change management lessons learned while driving adoption across a real R&D environment.

Um die Forschungsseminare für alle angenehm zu gestalten, bitten wir Sie herzlich Folgendes zu beachten:

• Sollten Sie verspätet eintreffen, treten Sie bitte leise in den Raum, schliessen die Tür vorsichtig und nehmen leise Platz.
• Es ist in Ordnung, diskret eine Kleinigkeit zu essen, bitte jedoch ohne Lärm zu verursachen oder andere Teilnehmende abzulenken.
• Schenken Sie dem Gastredner, der Gastrednerin Ihre Aufmerksamkeit und vermeiden Sie Tätigkeiten am Laptop.

Vielen Dank für Ihr Mitwirken.