I build data-driven tools and computational solutions that turn complex biological information into meaningful, understandable insights.
Selected work
Bioinformatics / Single-Cell Transcriptomics
Single-cell RNA-seq analysis of 81,000+ peripheral blood immune cells from COVID-19 patients and healthy controls. Using R and Seurat, immune-cell populations were identified and condition-associated transcriptional changes were investigated, with focused analysis of monocyte states.
Bioinformatics / Mortality Prediction
A SQL and machine learning pipeline benchmarking Levine's Phenotypic Age formula against a self-built Random Forest model, evaluated on real NHANES mortality outcomes rather than a chronological-age proxy.
Interactive Biology / Scientific Visualization
An interactive 3D visualization of a eukaryotic animal cell. Explore cellular organelles and follow biological processes including protein production, intracellular transport and secretion.
Technical profile
Python, Java, SQL, JavaScript, HTML and CSS
Building applications, scripting analyses, processing data and developing responsive web interfaces.
Pandas, NumPy, Jupyter Notebook, SQL and visualization
Cleaning, exploring and visualizing biological and structured datasets to identify patterns and insights.
Scikit-learn, classification, model evaluation and validation
Developing and evaluating predictive models for classification and data-driven biological questions.
Sequencing quality control, Cutadapt, SPAdes, QUAST, BUSCO, gene-expression analysis, DESeq2, AlphaFold2, ColabFold, UniProt, Ensembl, ClinVar and PDB
Assessing sequencing-read quality, trimming reads, assembling and evaluating bacterial genomes, exploring gene-expression workflows, interpreting genomic annotations, and investigating proteins, genes and genetic variants.
Git, GitHub, Linux, VS Code and reproducible workflows
Version control, project organization, documentation and maintaining transparent development workflows.
Blender, Three.js, WebGL and interactive 3D visualization
Designing 3D biological models in Blender and building interactive scientific visualizations for the web.
About me
I am completing a bachelor’s degree in bioinformatics and have experience across biology, laboratory work, programming, data science and machine learning.
I enjoy developing tools that make scientific data easier to explore, understand and communicate. My interests include molecular biology, biomarkers, genetics, protein structure, health data and computational approaches to biological problems.
I am currently expanding my portfolio with additional data science and machine learning projects while preparing for a career in data, bioinformatics or scientific software development.
GitHub