Experience
A journey through biology, information systems, and the intersection of the two.
Bioinformatics Research Assistant
Engineering reproducible Nextflow pipelines for multi-omic datasets (RNA-seq, WGBS, Hi-C) in AML research. Developing CNN/PyTorch frameworks for DNA methylation prediction. Orchestrating petabyte-scale ETL on AWS Batch/S3.
Analytical R&D Data Scientist
Developed computer vision algorithms for high-content microscopy data. Automated a long cell-based QC assay for a gene therapy program by integrating Integra automated pipetting robots with reproducible R/Python CV scripts, increasing throughput by 300% and reducing analysis error rates by 40%.
M.S. Bioinformatics & Computational Biology
GPA: 3.97/4.00. Graduate research in deep learning for structural RNA classification, molecular dynamics simulations of drug-receptor interactions, and benchmarking methylation detection pipelines.
Scientist II — Biochemistry & Instrumental Analysis
Technical Lead for analytical biochemistry assays. Built Python parsers for automated instrument data ingestion (CGE, PCR). Maintained 99.8% data accuracy across 200+ monthly samples.
QC Scientist — Analytical Chemistry
Processed and verified high-volume GC-MS spectral data for 150+ compounds under strict data integrity standards.
Genetic QA Lab Technician
High-throughput DNA extractions using Biomek automation systems, processing 500+ samples weekly in an ISO 9001 compliant quality lab.
B.S. Biology
Undergraduate studies in biological sciences with emphasis on molecular biology and genetics.
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Newsletter
Occasional updates on research, tooling, and things I find worth sharing.