Cory H.

Immunologist & Bioinformatician | Wet-Lab Trained, Computationally Fluent Your experimental data shouldn't be sitting in a folder waiting for someone who understands both the biology and the code. That's what I do. I'm an Immunologist and Data Scientist (M.S. in Computer Science, PhD Candidate in Immunology) with 6+ years at the intersection of wet-lab science and high-dimensional data analysis. I've run the assays, prepped the libraries, and built the pipelines to analyze them - so when I work with your data, I'm interpreting it with real biological context, not just processing files. I help biotech startups, R&D teams, and academic PIs turn complex biological datasets into clear, publishable, statistically sound results. What I do: • Single-cell RNA-seq analysis end-to-end: QC, clustering, differential expression, annotation, and publication-ready figures (Seurat, Scanpy, DESeq2, edgeR). • Machine learning and predictive modeling: Applied to biological data for classification, biomarker discovery, and pattern recognition (scikit-learn, PyTorch). • Therapeutic target discovery: ML-driven identification and prioritization of novel drug targets from multi-omics data. • Agent-based modeling of immune systems: Simulating cell-level dynamics to study infection, inflammation, and immune response in silico. • Custom pipeline development: Reproducible, version-controlled, documented workflows in Python, R, and Bash, built specifically for your experimental setup. • Flow cytometry and microscopy analysis: Gating strategies, high-parameter panels, and quantitative image analysis (FlowJo, Fiji/ImageJ, CellProfiler). • Experimental design and publication support: Grant writing, methods sections, figure preparation, and statistical consulting. My Scientific Domain: I specialize in immunology, with deep expertise in mucosal immunology, host-pathogen interactions, and immune profiling. This ensures your data is analyzed through the lens of actual disease mechanics. My work has directly contributed to successful projects published in Science Advances and Nature Communications Engineering. If you have a project that needs both biological depth and computational rigor, send me a message. I offer a free introductory call to discuss your data and map out a plan.