Bioinformatics Scientist | Multi-Omics & AI Integration
Washington University School of Medicine
Integrating multi-omic data and developing reproducible computational pipelines. From Nextflow and Docker to deep learning for epigenetic analysis — bridging industrial rigor with academic innovation.
A community platform for the St. Louis Bioinformatics & Computational Biology collective. Connecting researchers, developers, and scientists in the greater St. Louis area.
A monitoring and analytics platform tracking real-time data streams. Built for reliability and performance in data-dense environments.
A defense and research laboratory platform for exploring computational methods in security analysis and threat modeling.
An interactive bioinformatics demo for epigenetic analysis. Upload genomic data, run methylation predictions, and visualize results in real-time.
Cloud-native tumor-normal sequencing pipeline for the NIH Common Fund's Somatic Cell Genome Editing program. Built with Nextflow DSL2 and DRAGEN hardware acceleration on AWS.
Machine learning-based pose estimation system for tracking zebrafish behavior in custom experimental rigs, enabling high-throughput behavioral analysis.
Transformer-based language models applied to biological sequence classification, exploring gene function prediction and regulatory element annotation.
Washington University School of Medicine — Spencer Lab
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.
Pfizer
Developed computer vision algorithms for high-content microscopy data. Replaced manual cell counting with reproducible R/Python scripts, increasing throughput by 300%. Reduced analysis error rates by 40%.
Saint Louis University
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.
ThermoFisher Scientific
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.
Firmenich
Processed and verified high-volume GC-MS spectral data for 150+ compounds under strict data integrity standards.
Bayer
High-throughput DNA extractions using Biomek automation systems, processing 500+ samples weekly in an ISO 9001 compliant quality lab.
University of Missouri–Kansas City
Undergraduate studies in biological sciences with emphasis on molecular biology and genetics.
info Loading methylation prediction model...
warn Backend API not yet connected
---
EpiBench Lite is a browser-based demo for epigenetic analysis.
Upload CSV or FASTA files, run methylation predictions via
the FastAPI backend, and visualize results in real-time.