Industrial Forum Activities

Thank you for your interest in the de.NBI Industrial Forum activities. Here you will find all planned events for 2023.


IF annual 2023

4th Annual Industrial Forum Meeting 2023

23 November, 1:00-5:00 pm (CET)


Thank you to all speakers and all participants of the 4th Annual Meeting of the de.NBI Industrial Forum!


This year's 4th Annual Meeting of the de.NBI Industrial Forum will take place online. The Annual Meeting is an opportunity to meet and discuss current academic and industrial topics of interest. The participation is free of charge.

The 2023 edition of the Annual Meeting is headlined:

“Big Data Handling in the Life Sciences”

Thursday, 23 November 2023, 1:00 – 5:00 pm (CET)

online (Zoom)

Click here to download the Book of Abstracts.


The programme of the 4th Annual Meeting de.NBI Industrial Forum comprises interesting presentations showcasing current research and use cases in regards to big data handling in the Life Sciences!

Find the programme below. All times are given in CET.

12:50 am

Zoom Login possible


01:00 pm

Opening and Welcome

A. Pühler, Uni Bielefeld
N. C. Lübke, FZ Jülich

01:10 pm

Session A: Cloud Computing for
the analysis of Life Science data

• Introduction to the de.NBI Cloud: Organisation, Governance, and Use Cases

• HEALTH-X dataLOFT: Vision of a European Health Data Platform

• NFDI4Microbiota: Advancing (Big) Data Solutions in Microbiology

Chair: A. Pühler


A. Sczyrba, FZ Jülich

H. Wagener, Berlin Institute of Health

K. Förstner, ZB Med, Cologne 

01:55 pm

Coffee Break


02:10 pm

Session B: Analysis of Life Science data in the

• BIG DATA handling in a Plant Breeding Company

• Large cohort analysis for 4D-Metabolomics, Lipidomics and Proteomics

• Building flexible and scalable infrastructure for data-driven synthetic biology using Cloud Computing

• Empowering insights in KNIME: from Big Data to Large Language Models

Chair: N. C. Lübke, FZ Jülich


A. Menze, KWS Saat SE

N. Kessler, Bruker Daltonic GmbH & Co. KG

J. Hess, Cambrium GmbH

M. Pawletta, KNIME AG

03:30 pm

Coffee Break


03:45 pm

Section B - continued

• Empowering Life Science Innovation through Integrated Data Management: From instruments to the Cloud with FAIR data

• Big Data Handling in the Life Science: Making Data actionable
• The impact of Artificial Intelligence in Clinical Research

• Navigating Zillions of Molecular Possibilities in Early Therapeutic Drug Design — The Ultralarge Chemical Space Revolution

M. Wiens, Wiens Synefex GmbH

A. Kremer, Information Technology for Translational Medicine (ITTM) S.A.

S. Lazer, Dell Technologies

M. Gastreich, BioSolveIT GmbH

05:05 pm

Wrap-up and Closing

A. Pühler, Uni Bielefeld
N. C. Lübke, FZ Jülich