3-4 February 2025

Owkin & Servier AI Hackathon for Glioblastoma Research

Join the hackathon to advance glioblastoma research through the use of AI and multimodal patient data

3-4 February 2025

Servier & Owkin AI Hackathon for Glioblastoma Research

We are bringing together top talent to tackle the challenges of glioblastoma research during a 2-day hackathon in Paris supported by the French Government as part of the AI Action Summit.

The goal of this hackathon is to advance glioblastoma research through the use of AI and cutting-edge patient data including single cell and spatial omics.

Presenting sponsor

Governed by a non-profit foundation, Servier is a global leader in oncology. Servier approaches innovation with a long-term vision and enable the Group to fulfill its vocation as a Group committed to therapeutic progress to serve patient needs. As such, Servier devotes 70% of its R&D budget to oncology, in particular rare cancers with no or few therapeutic alternatives to date.

Presenting Sponsor

Owkin is the first end-to-end AI biotech company on a mission to understand complex biology and ensure every patient gets the right treatment.

Partners

This event is organized by Owkin in partnership with Servier and with the support of the MOSAIC initiative, 10x Genomics, AWS, and the French Government.

Do you want to support the hackathon? Get in touch with us directly to learn more about our sponsorship opportunities.

The challenge

Advance glioblastoma research using multimodal data

For the first time, Owkin will provide access to a subset of the data generated by the MOSAIC initiative. This includes data from 75+ glioblastoma patients (H&E, whole exome sequencing, bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics and clinical data) treated by debulking surgery followed by adjuvant therapy as per the standard of care.

The challenge is to use the multimodal dataset to develop a project that seeks to advance research in areas such as the underlying biology of GBM, prediction of patient survival, or challenges associated with batch effect and the visualization of spatial and multiomics data.

Apply to the hackathon

Glioblastoma is one of the most challenging cancers

A highly heterogeneous disease whose biology remains deeply complex and poorly understood. Despite over 400 clinical trials since 2005, progress has been limited, underscoring the urgent need for new approaches. Today, with advanced datasets and AI tools, we have a unique opportunity to make real breakthroughs.

This hackathon will bring together creative minds to explore innovative solutions.

Event details and preliminary agenda

3 February 2025

Hackathon day 1

Palais Brongniart, Paris
Guest presentation followed by hackathon kick-off.

4 February 2025

Hackathon day 2

Palais Brongniart, Paris
Full-day hackathon followed by project pitches, winner announcement, and closing ceremony with guest speaker.
Why apply to compete?
GBM research
Research

Contribute to GBM research and open science. Opportunity to co-publish research with Owkin.

Network
Network

Network and collaborate with experts in the field from both academia and industry.

Mosaic
Access

Privileged access to a subset of the MOSAIC dataset and AWS computing resources for the duration of the hackathon and beyond.* 

Recognition and grants
Win prizes

A chance to win prizes at the end of the two days for the best ideas and POCs.

*Extended 3-month access for the winning projects

Who can apply?

We are looking for up to 100 participants including:

  • Data scientists and interdisciplinary researchers with expertise in analyzing molecular and imaging data (e.g. transcriptomics, spatial omics, digital pathology), as well as running survival prediction tasks. Expertise in GBM is not required but is a plus.
  • Biologists / physicians who have expertise in GBM and an understanding of molecular and imaging data.

Participants will work in diverse teams of up to five experts, with the winning team earning the opportunity to continue their research and publish results in collaboration with Owkin.

You can either apply as an individual (to be placed in a team) or as a predefined team.

Examples of relevant profiles:
  • AI/ML researcher
  • Data scientist
  • Computational biologist
  • Neuro-oncologist / Neuro-pathologist
  • GBM biologist
  • Others

Apply as a hackathon participant

Owkin will review applications and select candidates based on relevant expertise.
Apply here before January 15, 2025.

Note: we recommend forming teams of up to 5 people maximum. Each team member needs to apply through this form separately.

By completing this form, you are providing us with email information that we will use to contact you about the hackathon. This information will not be sold to third parties. Owkin may transfer your personal information for data hosting.

You can unsubscribe at any time by sending an email to hello@owkin.com.

For more information about our privacy practices and our commitment to protecting your privacy, please see our privacy policy.

Owkin will review applications on a rolling basis and select the best candidates based on relevant expertise in the data modalities and research subject for participation in the hackathon. 


The number of participants is limited to 100 people total. Submitting an application doesn’t guarantee participation in the hackathon and we reserve the right to accept or reject any application. We will contact you directly to inform you of our decision.

Terms and conditions

Any result obtained by the Organisation using the MOSAIC Window Resources, is and remains owned by the Organisation which may use them solely for internal academic research purposes excluding any Commercial Use of such Results.
For the purpose of this Article, “Commercial Use” shall mean any use primarily intended for commercial advantage and/or monetary compensation, including without limiting the foregoing any research project conducted for and/or on behalf of an industrial and/or commercial third party.
Owkin encourages the Organisation to disclose publicly the Results. To disclose such Results and make it available to the scientific community, the Organisation shall use the CC BY-NC-SA 4.0 (“Attribution-NonCommercial-ShareAlike 4.0 International”) licence, accessible to the following hyperlink: https://creativecommons.org/licenses/by-nc-sa/4.0/.