She leads a research lab who develops computational methods using statistics and machine learning for the analysis of high-throughput genomics experiments. The lab has considerable expertise in the analysis of single-cell and spatial omics. Recent work ranges from developing scalable algorithms and deep learning models for genomic data, to examining how alternative splicing and RNA modifications change across aging and development, to understanding the molecular mechanisms of neuropsychiatric and neurodegenerative disorders. 

She is also a co-host of the The Corresponding Author podcast, member of the Editorial Board for Genome Biology, an Associate Editor for Reproducibility at the Journal of the American Statistical Association, and co-founder of R-Ladies Baltimore.