My work sits at the intersection of clinical laboratory science and computational biology. I began in biobanking operations, running clinical sample processing workflows including PBMC extraction and plasma separation for translational cancer research cohorts — work that gave me a rigorous, hands-on understanding of sample integrity and data provenance long before I wrote a line of analysis code.

That foundation shapes how I approach bioinformatics today: I build oncology research pipelines that are traceable back to the realities of clinical sample handling. My computational toolkit includes molecular docking and network pharmacology workflows to explore drug–target interactions, NGS pipelines for variant calling and gene expression analysis, alongside Power BI and Streamlit dashboards that make cohort-level findings legible to clinicians and principal investigators alike.

I also believe good research tools shouldn't sit behind a paywall. That belief is why this site is more than a portfolio — alongside my project write-ups below, I design and build free bioinformatics tools and maintain a curated directory of free research resources, end to end: from the Next.js and TypeScript front end, to the API integrations behind each tool, to the data and content itself. It's a working demonstration of the same rigor I bring to research — applied to something anyone can use for free.

I hold an MSc in Cancer Biology (Cellular and Molecular Oncology) and was recognized as a University Gold Medalist for academic performance. I'm open to fully funded PhD opportunities and research or biotech roles — with particular interest in Germany and Japan — alongside continuing to grow PradeepBio as a free resource for the wider research community.