Biomedical senior scientist (PhD) transitioning into applied data science and ML for healthcare.
Nine years in pharmaceutical R&D and GMP-regulated analytical science — CAR-T cell therapy, bioanalytical assay development, and clinical release testing across Autolus Therapeutics, GSK Cell & Gene Therapy, and Thermo Fisher. Currently building applied ML capability through the University of Cambridge Data Science with Machine Learning & AI Career Accelerator (Apr–Oct 2026).
- 🧬 Domain expertise: CAR-T cell therapy · multi-parameter flow cytometry · ddPCR · bioanalytical method development · GMP / GxP · FDA & MHRA regulatory scrutiny
- 📊 Data & analytics: Python (pandas, NumPy, scikit-learn, matplotlib, seaborn) · statistical process control · multivariate analysis · root cause investigation · Lean Six Sigma Green Belt
- 🤖 Machine learning (in training): supervised & unsupervised learning · clustering (K-Means, hierarchical) · dimensionality reduction (PCA, t-SNE) · model evaluation · feature engineering
- Applied ML projects bridging pharmaceutical R&D and data science
- The University of Cambridge Data Science ML & AI Career Accelerator — employer-partnered project starts October 2026
- Portfolio pieces applying ML to biomedical and commercial datasets
- PhD, Vascular Cell Biology — University College London
- BSc, Biotechnology — University College London
- Advanced Data Science Career Accelerator — University of Cambridge · In progress, 2026
📍 London, UK 📫 Open to conversations about translational science, biomarker development, and applied ML/AI in healthcare