Scientific Forum 2026
19 May | Vienna, Austria

 

Consistent results

from complex biology

 

 

 

 

 

Join us in Vienna

Are you using high-throughput screening, high-content imaging, human-relevant models, or automated workflows?

 

 As biological systems become increasingly complex, generating reliable, reproducible data is more challenging and critical than ever. Our 2026 Scientific Forum aims to empower scientists working in high-throughput screening, high-content imaging, human-relevant models, and automated workflows. 

 

Register for this free event and:

  • Learn from experts from academia and industry as they discuss how to achieve consistent results from complex biology
  • Explore cutting-edge techniques and see how automation and AI are transforming research
  • Network with leading voices from academia and industry
  • Discover how Molecular Devices can help you streamline your research - from cell culture to data analysis. 

 

Please note that spaces for this event are limited and are allocated on a first-come, first-served basis!

 

Topics


The theme of the meeting is consistent results from complex biology and will cover:

  • Reproducible human biology at scale through automation and AI‑enabled execution

  • AI‑integrated high‑throughput and high‑content experimental workflows
  • Scalable imaging and analysis of advanced cellular systems

  • High‑precision quantitative measurement in complex biological samples

  • Operating multi‑user core facilities for advanced and complex cell culture

  • Design principles and practical considerations for complex automated biology workflows

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 Event details



 

Admission: Free

Time: 09:00 - 17:00 

Date: Tuesday, 19 May 2026

Location:
Wolke 21, Saturn Tower, Leonard-Bernstein-Strasse 10, 1220 Vienna, Austria

More information:
Please email infoboxeu@moldev.com

 

Wolke 21 Saturn Tower

Confirmed speakers

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Dr Thomas Olivier 
MIMETAS

 

 

 Dr Jennifer Just  
 Helmholtz Centre for Infection Research 

 

 

Dr Sepand Bafti
 Bayer AG 

 

 

Dr Hitesh Mangukiya
University of Uppsala

 

 

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Molecular Devices Logo 2025
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 Dr Alex Botos
Automata

 

 

 Dr Jared Pache 
Molecular Devices

 

 

Dr Joan Goetz
Poly-DTech

 

 

Dr Federico Zambon

MRC CoRE in Therapeutic Genomics 

University of Oxford


 

 

Why attend?

 

  • Unlock the power of automation and AI

    Discover how automation and AI can enhance reproducibility, consistency and confidence in your data

  • Learn from industry experts 

    See real-life case studies from leading researchers and Molecular Devices experts

  • Connect with your peers

    Network with industry leaders and fellow scientists through dedicated networking sessions and a hosted lunch 

    Please note that places are limited - so register today to avoid disappointment.

     

 

Register today

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