About
Hi, I’m Pradeep.
I’m a cellular and molecular biologist, cancer researcher, and bioinformatics enthusiast interested in understanding cancer through both biological research and data.
My interest in cancer led me to pursue Cellular and Molecular Oncology. While exploring bioinformatics, I found many powerful research tools fragmented and difficult to use. This inspired me to build PradeepBio, a practical bioinformatics hub bringing useful research tools and research resources together in one place.
My professional work spans biobanking, translational cancer research, and computational biology. Alongside my research work, I build open-source projects and tools using Python, Streamlit, Next.js, and data analysis platforms.
My interests include cancer genomics, NGS, molecular docking, network pharmacology, biological data analysis, and research applications. I enjoy exploring data, finding insights, and making complex analyses easier to use and understand.
I hold an MSc in Cellular and Molecular Oncology and was awarded a University Gold Medal for academic performance. I’m interested in fully funded PhD opportunities and research collaborations, while continuing to develop PradeepBio as a free resource for the research community.
PradeepBio is a growing collection of tools and resources built around one simple idea: make bioinformatics easier to explore, understand, and use.
Projects
Research & Projects
PradeepBio.com | Bioinformatics Hub
A growing bioinformatics hub providing practical research tools and curated resources, built with Next.js and TypeScript and developed end to end.
An interactive dashboard for exploring cancer drugs, therapeutic targets, regulatory approvals, and precision medicine insights.
A TCGA PanCancer Atlas dashboard for cancer mutation analysis, genomic visualization, and mutation intelligence using cBioPortal data and live REST APIs.
Biobank Sample Data Dashboard
Interactive dashboards for biobank sample inventory, clinical data insights, and KPI tracking.
Python Automation Tools
Python scripts that automate data processing, reporting, and routine research workflows.
Skills
Technical Toolkit
Oncology Research Pipelines
Design and execution of end-to-end computational pipelines for cancer genomics and translational oncology datasets.
NGS & Variant Analysis
FastQC, alignment, and variant calling pipelines, plus gene expression analysis for oncology applications.
Molecular Docking
In-silico modeling of ligand-protein binding interactions to support early-stage drug discovery workflows.
Network Pharmacology
Mapping compound-target-pathway networks to identify multi-target mechanisms of action in disease models.
Power BI Dashboards
Creating data-driven dashboards with Power BI and DAX for cohort summaries, trends, KPIs, and visual reporting.
Streamlit
Building interactive Python-based research applications and dashboards for exploring biological data.
Full-Stack Web Development
Designing and building this platform itself with Next.js, TypeScript, and Tailwind CSS — including live API integrations that power the free tools hub.
Laboratory & Biobanking
Practical experience in molecular biology techniques, cell culture, biospecimen processing, and biobanking workflows.
Contact
Let's Connect
Building connections in bioinformatics and cancer research, while exploring research collaborations and future fully funded PhD opportunities.