Anna is a senior researcher in computational biology with expertise in statistical genetics and data science. Her work lies at the intersection of basic and translational research, focusing on gene regulation, population genomics, and the molecular basis of brain and metabolic disorders.

She holds a Diploma in Mathematics from Humboldt University of Berlin and a PhD in Bioinformatics from the Max Planck Institute for Molecular Genetics, where she developed machine learning approaches for epigenomic analysis and regulatory element prediction. She then completed a postdoctoral fellowship in Manolis Dermitzakis’ group at the University of Geneva, working on longitudinal transcriptomics and eQTL mapping. During this time, she contributed to large-scale studies including TwinsUK/MultiMuTHER and the DIRECT consortium on type 2 diabetes, aimed at identifying biomarkers of disease progression and treatment response to support stratified therapeutic approaches.

Since 2021, she has been working in Christian Lüscher’s laboratory at UNIGE, focusing on neuroepigenomics of addiction and neurodegenerative disease. Her research includes epigenomic analyses of addiction-like behaviour in a dopaminergic self-stimulation mouse model, as well as computational analysis of single-cell epigenomic data from Parkinson’s disease brain tissue obtained in collaboration with the Lausanne University Hospital (CHUV) during deep brain stimulation surgery.