Experience
Bioinformatic Data Scientist
- Bioinformatician II — July 2026 to Present
- Bioinformatician I — June 2024 to July 2026
- Consult across six concurrent research teams, scoping analytical approaches to experimental designs and delivering fully reproducible analyses and pipelines tailored to each team's unique research questions.
- Apply a breadth of methods including GLMs, survival analysis, regularized regression, random forests, and dimensionality reduction across large, complex datasets on on-premises HPC infrastructure (Slurm).
- Translate complex analytical findings into clear, actionable conclusions for collaborators with varied quantitative backgrounds, including written reports and presentations tailored to non-technical audiences.
- Develop interactive dashboards (R Shiny, Quarto) enabling others to explore and interrogate analytical results directly, communicating deep insights to non-technical stakeholders.
- Serve as a Nextflow Ambassador and nf-core Outreach Team member, contributing to a globally distributed open-source community spanning hundreds of institutions and research groups worldwide and leading internal training sessions to drive adoption of scalable workflow tooling.
- Mentor students on collaborative research projects, with five students mentored to date.
Relevant coursework
Graduate Research Assistant
- Partnered with wet-lab scientists to define statistical frameworks for novel experimental designs, bridging domain biology and quantitative methodology
- Developed open-source tools addressing gaps identified through cross-group collaboration, including micRoclean and optima
Education
M.S. Health Data Science
Relevant coursework
B.S. Behavioral Neuroscience
Relevant coursework
Skills & Technology
Statistics & Mathematics
- Regression: Linear regression, logistic regression, generalized linear models
- Survival Analysis: Kaplan-Meier estimation, Cox proportional hazards, competing risks
- Statistical Learning: Supervised and unsupervised machine learning, regularization (LASSO, ridge), random forests, dimensionality reduction
- Categorical Analysis: Chi-square tests, contingency tables, log-linear models, ordinal regression
- Clinical & Observational Studies: Clinical trial design, propensity score methods, causal inference frameworks
- Genomic Statistics: Multiple testing correction (FDR, Bonferroni), differential expression analysis, genomic data methods
- Foundations: Calculus I & II, probability theory
Programming & Infrastructure
- Languages: R, Python, Bash, SQL
- Workflow Management: Nextflow, Slurm
- Version Control: Git, GitHub
- Containers and Environments: Docker, Conda, Apptainer/Singularity
Transcriptomics
- Single-cell RNA-seq: Preprocessing and QC (Cell Ranger), dimensionality reduction and differential expression (Seurat, scanpy), pathway enrichment (GO, Reactome, Qiagen IPA)
- Bulk RNA-seq: QC (FastQC, MultiQC), alignment (RSEM, Bowtie2), dimensionality reduction (PCA, UMAP), differential expression and pathway analysis (GO, Reactome, Qiagen IPA)
- Spatial Transcriptomics: Visium HD (10x Genomics) - Spatial gene expression analysis, tissue segmentation, spot-level and bin-level quantification, integration with single-cell reference atlases
Genomics
- Single-cell DNA-seq: Tapestri (MissionBio) - Preprocessing and QC (MissionBio Tapestri Insights), subclone identification via dimensionality reduction, integration with bulk DNA-seq for germline variant detection
Epigenomics
- Reduced representation bisulfite sequencing: QC (FastQC), read trimming, genome preparation and alignment (Bismark), differential methylation analysis (methylKit)
Metagenomics
- 16S rRNA-seq: QC (FastQC), adapter trimming (cutadapt), denoising and ASV generation (DADA2), taxonomic profiling (QIIME2), differential abundance testing (ANCOM-BC)
- Metagenomic shotgun sequencing: QC, read trimming (Trimmomatic), taxonomic profiling (MetaPhlAn), diversity analysis and visualization (phyloseq)
Presentations
The Microbial City: An Introduction to Microbiome Data Analysis
Introduction to Nextflow and nf-core
micRoclean: an R package for decontaminating low biomass 16S-rRNA microbiome data
optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis
Professional Training
Multi Omics NETwork Analysis Workshop (MONET)
Nextflow Training Week
- Certificates: Hello Nextflow, Nextflow for Genomics, Hello nf-core, Nextflow for RNA-seq
Single Cell RNA-seq Workshop
Epic Cosmos Data Model Certification
- Certified for the Cosmos deidentified dataset
IBM Data Science Professional Certificate
SQL for Data Science with R
Memberships & Affiliations
Nextflow Ambassador
nf-core Outreach Team Member
Member, American Statistical Association
- Section on Statistics in Genomics and Genetics
Board Member, Graduate Student Biostatistics Association
Publications
Published Nrf2 Promotes Regulatory T Cell Differentiation by Reprogramming Glutamine Metabolism and Alleviates Ulcerative Colitis
Science Immunology
Published Distinguishing the significance of blood microbes in epithelial ovarian cancer
Gut Microbes Reports, 2026
Abstract Mo1484: Antioxidation Protein NRF2 Alleviates Colitis by Enhancing Treg Cell Functions
Gastroenterology, May 2026
Published Integrative modeling of read depth and B-allele frequency improves single-cell copy number calling from targeted DNA sequencing panels
Published Extracellular Vesicle miRNAs as Biomarkers of Asthma Severity
Allergy, January 2026
Published Nrf2 drives activation-driven expansion of CD4+ T cells by modulating glucose and glutamine metabolism
Cell Reports, September 2025
Published Therapeutic potential of NRF2 activating drug RTA-408 in suppressing T cell effector responses and inflammatory bowel disease
The Journal of Immunology, August 2025
Published micRoclean: an R package for decontaminating low-biomass 16S-rRNA microbiome data
Published optima: an Open-source R Package for the Tapestri platform for Integrative single cell Multi-omics data Analysis
Bioinformatics, October 2023