Research

We brigde computational and experimental neuroscience to study neurodegeneration

What we do

We use human data to explore complex biological questions underlying neurodegenation

Our Approach

computational and experimental integration

We bridge computational and experimental neuroscience to study disease across scales:

  • Human multi-omics and genetic data integration
  • iPSC-derived cellular disease models
  • Single-nucleus RNA sequencing (snRNA-seq)
  • Spatial transcriptomics
  • High-content imaging and automated phenotyping tools

By combining these approaches, we translate complex human data into mechanistic and actionable biological insight.

We work on three main projects:

Therapeutic Discovery

Transcriptomic disease signatures

We use computational approaches to identify drug candidates for ALS/ FTD

Disease Mechanisms in C9orf72 ALS/ FTD

Validation in in vitro disease models

We investigate how repeat expansions in C9orf72 drive ALS/FTD pathology using in vitro disease models, and develop computational tools to quantify disease-associated cellular phenotypes at scale.

Cellular Senescence

Senescence in brain and blood in aging and neurodegeneration

Establishment of neurodegenerative disease signatures by integrating genetics and transcriptomics.