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17 - 18 June 2026 | ETH Hönggerberg - Zurich, Switzerland

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Hosted by

Digital bioprocessing is the integration and application of bioprocess data, models, and data-driven technologies in the development, transfer, and control of biopharmaceutical processes. It combines advanced analytics, process models, digital twins, automation, and connected data infrastructures to generate deeper process understanding, enable faster and more efficient development cycles, and support consistent, high-quality manufacturing performance.

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A can't miss event for bioprocess professionals in

  • Process Development
  • MSAT
  • Bioprocess Data-Scientists 
  • Manufacturing
  • Digital Transformation Leaders
  • Innovation Leaders
  • Academia

Symposium Sponsors

Overview

The Digital Bioprocessing Symposium, hosted by DataHow, aims to create a space where industry professionals can connect with peers who are driving digital bioprocessing practices within their organisations, exchange learnings, and build a strong community around best practice.

Participants will have the opportunity to hear directly from industry experts and academic innovators, who will share insights, real-world applications, and forward-looking perspectives through dedicated talks and panel discussions.

The symposium also offers hands-on exposure to the latest technologies driving digital bioprocessing, including interactive demonstrations, live use-case showcases, and facilitated sessions with the tools and platforms accelerating digital transformation.

Presenting organisations

Digital Bioprocessing Symposium Programme

The first afternoon offers tailored tracks for everyone, featuring DataHowLab feedback sessions for current users and a hands-on introductory workshop for newcomers.

The event continues on day two with a symposium of expert-led talks and dedicated networking breaks to foster community connection.

View the full programme in the slider.

1-Mar-19-2026-08-14-25-9312-AM
2-Mar-19-2026-08-14-39-9333-AM
3-4
Cópia de Cópia de Symposium US Activities
See the Full Programme

Speakers

12

Karna Shah

Associate Director PDS&T

 

13

Julien De Crom

Data and Predictive
Sciences Lead

Veronique Chotteau

Veronique Chotteau

Professor,
Head of Cell Technology Group

Chethana Gadiyar

Chethana Gadiyar

Lead Scientist
Data Analytics and Modeling

Nian Liu

Nian Liu

Principle Scientist

 

Sabine

Sabine Arnold

Global Development
CMC Biologicals

Yash Sabharwal

Yash Sabharwal

President
CEO

Alessandro Butté

Alessandro Butté

CEO
Co-Founder

Peter

Peter Neubauer

Professor for
Bioprocess Engineering

Speakers Headshots 26 (4)

Angela Botros

Senior Process
Modeling Scientist

Anna Kress

Anna Kress

Manager Application Science

carmen

Carmen Jungo Rhême

Director Biofactory Competence Center and Full Professor at HEIA-FR 

Anna

Anna Gardarsdottir

Founder &
Independent Advisor

Countdown to the Digital Bioprocessing Symposium 2026

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What to expect at the Symposium

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Days of Digital Innovation

Discuss the technologies and approaches that are advancing bioprocessing

Applied Industrial Case Studies

Success stories and learnings from the implementation of digital initiatives

Network with Digital Professionals

Exchange ideas and insights with industry professionals who are driving digital

Innovation from Academia

Discover the latest research and innovation from academia

Industry Talks

Gain insights from industry thought-leaders as they share their take on digital bioprocessing

Hands-on Technology Sessions

Experience the newest technologies shaping the bioprocessing landscape

Watch Last Year's Presentation Recordings
Watch recordings

Advanced Process Data Analytics Course

Join this expert course on June 15–17, 2026, at ETH Zurich, Switzerland!

Through fundamental lectures and hands-on industrial case studies, participants will master high-dimensional data visualization and modeling techniques to solve critical biopharmaceutical challenges.

As an added benefit, all course participants will receive complimentary access to the Digital Bioprocessing Symposium by DataHow, taking place after the course.

Learn more
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Frequently asked questions

Where to stay?

Participants can choose from several Fassbind hotels in Zurich, including Hotel Züri by Fassbind, Hotel Swiss Night by Fassbind, and Hotel Chocolate by Fassbind.

Book directly via the Fassbind website and use the promo code datahow for a 10% discount on your rate. Please note that guests pay directly at the hotel upon check-in or check-out.

How can I get to ETH Hönggerberg from Zurich city centre?
From Zurich Main Station, take a train to Zürich Oerlikon and then bus 80 towards Triemlispital to the stop ETH Hönggerberg. The journey takes around 20 minutes.

Alternatively, take tram 50 from Zurich Main Station to Bucheggplatz, then change to bus 69 towards ETH Hönggerberg.

Public transport tickets can be purchased via the ZVV or SBB apps, or participants can use the Zürich Card for public transport within the city and surrounding region: https://www.zuerich.com/en/zurich-card-city-guide-app/zurich-card

“The bioprocess digitalization conference to go to."

Former Attendee

"Great overview of where the industry is heading."

Former Attendee

"Exciting discussions on the future of bioprocess development."

Former Attendee

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