Modelling life science data in big pharma, academia, and startups

September 8, 2023, 10:00 – 11:00
Event Tags:


SciLifeLab Data Centre


Online event via Zoom

Modelling life science data in big pharma, academia, and startups

Virtual Event Virtual Event

September 8 @ 10:00 11:00 CEST

Join the NEW event series arranged by the SciLifeLab Data Centre focused on tools for AI/ML research in life sciences.

Title: Modelling life science data in big pharma, academia, and startups – Differences, Examples, and Some Learnings

Speaker: Andreas Bender, Professor of Molecular Informatics, University of Cambridge

Where and when: September 8, 2023 at 10:00-11:00 Stockholm time, online. Registration is open till Sept 7 at 24.00.

Abstract: Life science data, modelling methods, and organizational environments in which they are implemented vary widely – from big pharma, to academia, and start-up environments (and beyond). This presentation will partly cover science and modelling, but there will be an additional focus on the differences between the above environments (all of which the presenter has worked in), and how they influence the approaches, as well as the eventual result and product to be delivered.

More about the event series:

Tools for AI/ML research in life sciences is an event series by the SciLifeLab Data Centre aimed at life science researchers who use machine learning methods in their work. The goal of the events in this series is to provide introductions to different tools for ML research but also to foster discussions around our practices and how they can be improved. The events takes place virtually (over Zoom) and are open to researchers in Sweden and beyond. Each event is scheduled for 60 minutes, consisting of a talk and an extended discussion. Follow the page of the event series to learn about future seminars.

For questions about the events please contact the organizing team by emailing

Scientific lead: Prof. Ola Spjuth, SciLifeLab Data Centre and Uppsala University

Contact information:

Last updated: 2023-08-28

Content Responsible: Arnold Kochari(