About

I am a computational biologist who turns high-dimensional single-cell and spatial genomics data into biological insights. I work closely with experimental and clinical scientists to design analyses, generate hypotheses, and interpret results across many diseases and tissues.

I am currently a Bioinformatician II at the Harvard Chan Bioinformatics Core (HBC), where I lead end-to-end single-cell and spatial transcriptomic analyses for studies in immunology, dermatology, and neuroscience. I also write and teach HBC's training workshops on single-cell analysis, spatial transcriptomics, and Python.

Previously, I was a Computational Biologist in the Single-cell Analytics Innovation Lab (SAIL), led by Dr. Dana Pe'er at Memorial Sloan Kettering Cancer Center. There I analyzed single-cell data from cancer models, including work showcasing how chromosome 9p21 deletions drive immune evasion, and adapted scalable pipelines to process samples.

My path into genomics research began with mitochondrial genetics: at the Van Andel Research Institute with the Triche lab, I helped characterize germline and somatic mitochondrial DNA mutations in pediatric cancers and extended MTseeker, an R/Bioconductor package for mitochondrial variant analysis. Prior to that role, I worked on protein simulations using molecular dynamics in the Brooks lab, mentored by Dr. Jonah Vilseck.