I'm an experienced bioinformatics and data science professional with 6+ years of industrial experience working in computational biology. I specialize in analyzing complex biological datasets to drive innovation in biotech and pharma — skilled in machine learning, statistical modeling, and programming in Python, R, and SQL. I hold a PhD in Bioinformatics and Data Science from the University of Delaware and a BSc in Pharmaceutical Product Development from West Chester University. Outside the lab, you'll find me cycling, hiking, or spending time with my dogs.
Develop bioinformatics workflows for secondary analysis of NGS data across PacBio HiFi, SBB, Illumina, and Nanopore platforms. Support oncology and microbiome research; build visualizations in Python and R Markdown for variant calling performance evaluation.
Built automated, data science-driven infrastructure for microbiome research integrating metagenomics, 16S, metabolomics, and metatranscriptomics. Led biological discovery of novel bacterial and phage probiotic candidates from human and animal gut samples.
Applied machine learning to microbial signatures from subsurface samples to trace reservoir connectivity, assess production potential, and optimize resource management strategies in energy exploration.
Rapid and robust characterization of unknown pathogenic DNA/RNA sequences.
Identifying novel CRISPR families from environmental samples.
Examining how database composition affects k-mer-based taxonomic classification over time.
Viral metagenomics pipeline and web app to explore viral diversity in environmental samples.
Shotgun metagenomic characterization of microbial communities in crop irrigation water sources.
Tool for predicting viral replication strategy via DNA polymerase analysis.