Driving Scientific Discovery Through Advanced Bioinformatics & Data Science
Get In TouchWith over 15 years of experience in bioinformatics and data science, I specialize in transforming complex biological data into actionable insights for drug discovery and scientific research.
My background spans proteomics, metabolomics, and advanced computational biology, having led teams at Vicinitas, Denali Therapeutics, and Scripps Research Institute.
I hold a PhD in Biochemistry/Bioinformatics from Imperial College London and have published groundbreaking work in metabolomics data analysis, including the widely-used XCMS platform.
Comprehensive metabolomics and proteomics data analysis including statistical modeling, biomarker discovery, and pathway enrichment. Expert support for LC-MS, GC-MS, and DIA proteomics workflows.
Advanced statistical modeling including multivariate analysis, mixed-effects models, Bayesian inference, and experimental design optimization for large-scale omics studies.
Data-driven target identification and validation using multi-omics integration, machine learning approaches, and structural analysis for drug discovery programs.
Implementing cutting-edge AI and machine learning solutions including NLP/LLM methods (RAG), deep learning for peak detection, and automated data pipelines for research acceleration.
Building automated data pipelines, cloud-based analysis platforms, and custom bioinformatics solutions to optimize research workflows and reduce operational costs.
Tailored bioinformatics solutions for your specific research needs, from proof-of-principle analyses to production-scale data platforms.
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Ready to accelerate your research with advanced bioinformatics solutions?
Location: Northampton, UK