The goal of my lab is to understand the biology of neurodegenerative diseases (i.e: Alzheimer, Parkinson, Frontotemporal dementia), identify risk and protective genes and pathways, create prediction models and identify druggable targets, by generating and analyzing human multi-tissue multi-omic data (genetic, genomics, proteomics, epigenomics, and lipidomics) from large and well characterized cohorts.
In the lab we use classic human statistical genetics approaches such as association studies using GWAS, or Whole Genome Sequencing (WGS) in unrelated or familial cases, as well as novel and powerful genomic approaches such as QTL mapping, colocalization, Mendelian Randomization or Machine Learning to identify causal genes.
In summary, the mission of our lab is a human-data driven using molecular profiling where omics and functional genomics studies in neurodegeneration and diseases of the CNS are translated into improvements in human health through better understanding of the molecular underpinnings of disease. 

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My lab regularly takes graduate students, postdocs, undergraduates, as well as summer students. I am a faculty member in the Division of Biology and Biomedical Sciences (DBBS) on the Human and Statistical Genetics, Neurosciences, Biomedical Informatics and Data Science Program and Molecular Genetics and Genomics Program.