Hello, my name is
Paul London
Biotech & Data Science
Translating biology into data-driven insights
About me
I’m Paul London, a molecular technologist and data scientist who leverages lab expertise and applied machine learning to transform complex biological and business data into actionable insights.
I solve biotech problems with data-driven insights
I’m Paul London, a molecular technologist turned data scientist, blending 6+ years of lab experience with applied machine learning and data analytics. I build reproducible pipelines and data-driven solutions that bridge science and technology.
I’m a data science professional with a foundation in molecular biology and biotechnology, currently exploring the intersection of computational methods, AI, and life sciences. With 5+ years of hands-on lab experience and applied machine learning expertise, I specialize in building reproducible pipelines, predictive models, and insightful visualizations that transform complex data into actionable insights. My work spans Python, data visualization, predictive modeling, and workflow automation, with a focus on solving scientific and business challenges using scalable, data-driven solutions. I’m particularly interested in bioinformatics, genomics, and AI-driven approaches that accelerate discovery and innovation.
What I do
Artificial Intelligence
I use AI to build intelligent systems that analyze complex biological and business data, uncover patterns, and support decision-making.
Machine learning
I design and apply ML models to predict outcomes, classify data, and extract actionable insights from large datasets.
Data Science
I combine data wrangling, visualization, and statistical analysis to transform raw data into meaningful, reproducible solutions.
Skills
Next-Generation Sequencing (NGS)
Clinical NGS testing, QC, and workflow optimization in regulated lab environments.
Molecular Diagnostics
Hands-on experience with automated molecular assays and high-throughput testing.
Workflow Automation & Optimization
Automation and process improvements that reduce turnaround time and errors.
Regulatory & Clinical Compliance (CAP / COLA)
Inspection readiness, SOP development, and quality systems in clinical labs.
Experience
Machine Learning Engineer
Partnered with a licensed real estate agent to build and deploy a machine-learning property classification system using 10,000+ MLS records, delivering actionable predictions through an interactive Streamlit dashboard.
Molecular Technologist
Performed and optimized clinical NGS testing workflows, implementing automation and SOP improvements that improved pass rates, cut turnaround time in half, reduced QC incidents by 75%, and supported a successful COLA inspection.
Laboratory Manager
Oversaw an automated molecular diagnostics laboratory, leading staff, troubleshooting robotics and assays, and improving workflow efficiency by 25% while maintaining CAP inspection readiness with zero deficiencies.
