Experience

Research Scientist

Oct 2024 - Present

Developed reproducible Snakemake workflows for WES and bulk ATAC-Seq, reducing data-preprocessing time and allowing for increased scalability.
Supported Dartmouth researchers by developing boutique-analysis pipelines for tRNA-Seq and proprietary sequencing strategies.
Analyzed a wide range of projects for core clientele spanning Eukaryotic and prokaryotic genomics including scRNA and ATAC-seq, 10X spatial (visium and xenium), and MGX.
Created an R-package, RGenEDA, to ensure reproducible exploratory data analysis and reduce analysis times.

Clinical Research Technician I

Jun 2023 – Sept 2024

Spearheaded the design and implementation of computational methods in R for multi-omics studies including bulk RNA-Seq, 16S amplicon sequencing, and targeted metabolomics.
Utilized bash scripting on an HPC to automate bulk RNA-Seq preprocessing.
Conducted a full DEG/GSEA analysis of bulk colon tissue from Pirc rats to highlight the combinatorial effect of naproxen and EPA on colon cancer chemoprevention.
Analyzed colonic spatial immune architecture via multiplex imaging mass cytometry.
Generated effective and publication-quality figures using R, ggplot2 to easily communicate findings.

Bioinformatics R&D Intern

Jun 2022 – Sept 2022

Leveraged synthetic PacBio and ONT long reads as a standardized, ground-truth input to validate and benchmark proprietary microbiome clustering software.
Contributed to pipeline development through a series of custom R scripts to generate taxonomy call files.

Student Researcher

Sept 2021 – May 2023

Managed LIMs database and deposition of raw sequencing reads to NCBI's SRA database.
Assembled and annotated bacterial genomes from Illumina MiSeq reads using SPAdes and Prokka.
Investigated fungal communities of T. septentrionalis fungus gardens to highlight ant symbiotic dynamics.

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