Generative AI for Unlocking the Complexity of Cells

Date

Mar 3, 2026

Time

11:00 AM - 12:00 PM

Speaker

Maria Brbic

Affiliation

Swiss Federal Institute of Technology, Lausanne

Language

en

Main Topic

Biologie

Host

Stephan Grill

Description

We are witnessing an AI revolution. At the heart of this revolution are generative AI models that, powered by advanced architectures and large datasets, are transforming AI across a variety of disciplines. But how can AI facilitate and eventually enable discoveries in life sciences? How can it bring us closer to understanding biology, the functions of our cells and relationships across different molecular layers? In this talk, I will introduce generative AI methods designed to uncover relationships across different omics layers. I will demonstrate how these approaches enable the reassembly of tissues from dissociated single cells and how they can help us to understand the relationship between nuclear morphology and transcriptomic profiles. I will further demonstrate how biomedical challenges can help to drive new fundamental AI advances. Finally, I will discuss challenges and limitations of existing methods for accurately predicting cellular response to perturbations.

Last modified: Feb 24, 2026, 7:38:33 AM