Integrating Multiomics Data with Deep Learning for Disease Risk Prediction
An engineering deep-dive into resolving high-dimensionality and cross-omic interactions using Multimodal VAEs, Graph Neural Networks, and Cross-Attention Transformers.
Bioinformatics
Scalable Genomic Pipeline Optimization with Nextflow and Singularity
An engineering deep-dive into resolving dependency conflicts and compute scaling bottlenecks in biomedical data workflows using Nextflow and containerization.
Bioinformatics and Health Data Support
Applied bioinformatics and health-data support for research groups, startups, and clinical innovation teams working with reproducible analytical workflows.
Introduction to Graph Attention Networks in Biology
How Graph Attention Networks work, why they matter for biological structure, and how to prototype them with PyTorch Geometric.
Why Docker Fails in HPC and How Singularity Fixes It
How user privileges, filesystem mounts, and scheduler constraints make Docker a poor default in HPC and why Apptainer remains the better execution model.
Writing Your First Production-Ready Nextflow Pipeline
How to structure channels, processes, and configuration so your first Nextflow pipeline is production-ready instead of tutorial-only.
Processing Single-Cell RNA-Seq Data at Scale
How to design a cluster-friendly scRNA-seq workflow for QC, normalization, dimensionality reduction, and clustering without exhausting memory.