Imaging, Omics and AI in Single Cell Biology Symposium
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Registration is closed! For questions please contact Mariëlle Harlé, [email protected]

Accelerator building, Utrecht Science Park
Organized by Tineke Lenstra and Jop Kind

You can find the programme here.

Understanding tumor biology requires approaches capable of capturing molecular states, spatial organization, and dynamic behavior at single-cell resolution. This one-day symposium brings together researchers working in omics, advanced imaging, and artificial intelligence to explore how the integration of these complementary technologies can transform single-cell biology and cancer research.

The program will highlight emerging and state-of-the-art technologies in genomics, transcriptomics, proteomics, live-cell and spatial imaging, as well as machine-learning approaches. There will be ample opportunities for PhD students and postdoctoral researchers to present their latest work, with preference given to studies that integrate these technologies to move beyond descriptive atlases toward a predictive, mechanistic understanding of fundamental tumor biology, including tumor development, tumor microenvironment, tumor heterogeneity and plasticity, and therapy response.

The symposium is organized by Oncode Institute and is open to both Oncode and non-Oncode researchers, with the aim of fostering cross-disciplinary exchange and catalyzing new collaborations across the single-cell and cancer research communities.

Abstract Submission is closed since May 22nd.

Registration deadline: 9 June 2026

Featured speakers

 

 

Marvin Tanenbaum 

Oncode Investigator, Hubrecht Institute, TU Delft

Talk: Decoding the sequence requirements for translation initiation

Photography and filming

During the event, photos and videos will be taken for institutional use (website, LinkedIn and newsletters). By registering, I give consent to the use of images where I am recognisably present. If I prefer not to appear, I can inform the events team in advance.

Registration form