Work Experience
Interpreting transcriptomics data (single-cell multiomics, spatial transcriptomics, bulk RNA-seq) for Harvard research labs. Teaching, maintaining, and developing workshops on single-cell RNA-seq, spatial transcriptomics, Python, and data analysis.
Led integrative analyses of large single-cell datasets, including creating methods to recover data lost through typical processing. Automated WDL/AWS/Docker pipelines to process hundreds of samples.
Mapped differential gene expression to proteins in order to investigate phosphorylation patterns.
Prepared reagents and materials for an advanced laboratory biology course.
Maintained and extended MTseeker, an R Bioconductor package isolating mitochondrial DNA variants to trace lineages in single-cell samples.
Mentored students one-on-one in Calculus 1 and 2.
Simulated protein–ligand interactions using computational chemistry to determine free energies of binding. Focused primarily on BACE1, a known target for Alzheimer's disease therapy.
