Designed a framework integrating transcriptomics, imaging, and clinical attributes to improve hepatocellular carcinoma diagnosis and prediction.
Abstract
This work presents a multi-modal fusion framework that combines transcriptomic data, medical imaging, and clinical attributes to enhance the accuracy of hepatocellular carcinoma (HCC) diagnosis and prediction. The integrated approach provides a comprehensive view of disease progression and improves diagnostic capabilities.
Conference
Presented at International Conference for Genomic Medicine 2026 (ICGM 2026)
Submitted at AASLD (American Association for the Study of Liver Diseases) 2025.
Developed fieldable sequencing approaches emphasizing low size, weight, power, and high fidelity to meet expeditionary requirements.
Abstract
This work focuses on developing portable DNA sequencing technologies suitable for far-forward operations. The approach emphasizes low size, weight, and power (SWaP) requirements while maintaining high fidelity, making it suitable for expeditionary and field deployment scenarios.
Conference
Presented at MHSRS (Military Health System Research Symposium) 2025.
Capstone project for Master of Science in Bioinformatics at Hood College.
Abstract
This capstone project focused on generating splice junction data from publicly available RNA-seq datasets using open-source bioinformatics tools. The goal was to identify novel isoforms that may not be present in standard reference annotations, contributing to our understanding of transcriptome diversity.
Project Details
- Utilized publicly available RNA-seq data from GEO and other repositories
- Applied open-source tools for splice junction detection
- Identified and characterized novel isoforms
- Contributed to transcriptome annotation improvements