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Casale Lab

Summary

The Casale Lab is a research group based at the Institute of AI for Health, Helmholtz Munich, and the Helmholtz Pioneer Campus, Germany. Led by Francesco Paolo Casale, the lab focuses on developing statistical genetics methods and machine learning models to analyze complex human phenotypes and datasets. The lab co-developed the RisQ framework to model human health across diseases, modalities, and time (as of 2026-07-09).

Research Areas

The Casale Lab focuses on computational methods in genetics and systems medicine: - Statistical Genetics: Developing multivariate and multi-trait association testing frameworks to identify genetic factors underlying complex traits and diseases. - Machine Learning in Health: Building deep learning and representation learning models to integrate multi-omic data (genomics, transcriptomics, proteomics) and clinical EHR datasets. - Gene-Level Burden Analysis: Designing tools and applying algorithms (such as DeepRVAT) to detect gene-level rare-variant associations with complex diseases.

Citations