Experience

  1. Senior Scientist, Computational Genomics

    Fauna Bio
    • Identify and prioritize translatable genetic targets responsible for disease protection in natural animal models of disease resistance using a variety of omics data including bulk/single-cell RNA-seq from non-model/model organisms/humans, and large-scale human genomics datasets i.e. the UK Biobank.

Education

  1. PhD Biomedical Sciences with Specialization in Bioinformatics

    Univ. of California San Diego
    • Dissertation: “Leveraging human genetics and high-throughput functional genomics to understand, diagnose, and treat prevalent metabolic diseases such as type 2 diabetes and cardiovascular disease.”
    Read Thesis

  2. BSc in Pharmaceutical Chemistry, Minor in Quantitative Biology & Bioinformatics, summa cum laude

    Univ. of California Davis
Skills
Technical Skills
Data Science

Proficient in R, Python, Git version control

Human population / Statistical genetics

GWAS, Burden testing, e/pQTL analyses, Mendelian Randomization

Bioinformatics / Genomics workflows

Nextflow, Bash scripting, CLI tools

Sequencing analyses

Next-generation sequencing (NGS), bulk/single-cell RNA-seq, ATAC-seq, ChIP-seq

High performance computing

SLURM, Cloud computing (AWS, GCP)

Foundational biomedical sciences background

Experienced with drug discovery and development

Awards
Machine Learning Specialization
Coursera ∙ December 2024
T32 National Research Award, National Institute for General Medical Sciences (NIGMS)
UCSD Graduate Genetics Training Program ∙ June 2020