Moritz Schaefer
Postdoctoral Researcher, Department of Medicine and Department of Computer Science, Stanford University
Talking to Cells, Tissues and Patient Data using Multimodal AI Agents

Learning objectives

  1. How multimodal AI enables interactive analysis of single-cell transcriptomics
  2. How annotated transcriptomics data informs cell-level predictions of histopathology
  3. How AI agents analyze patient cohorts to understand and address therapy failure

Speaker Bio

Moritz Schaefer is a postdoctoral researcher at Stanford University with Zinaida Good and Jure Leskovec, developing human-interpretable AI that turns complex biomedical data into biological insight. He built CellWhisperer (Nature Biotechnology, 2025) and SpatialWhisperer (ICML, 2026), both multimodal AI methods that let researchers analyze single-cell data from transcriptomics and histopathology data. His current work leverages AI agents to scale analysis of multimodal patient data to address cancer therapy resistance. He worked with Christoph Bock at the Medical University of Vienna and CeMM, holds a PhD in Systems Biology from ETH Zurich, and studied computer science and AI at TU Berlin.