My transition from pharmaceutical consultant to AI strategist isn't just theoretical - I'm actively building projects that demonstrate both technical capability and strategic thinking. Each project serves a dual purpose: deepening my own learning while creating tools and resources that might help others.
Featured Projects
AI & ML Reference Guide
Interactive reference covering classical machine learning through modern systems - transformers, foundation models, and agentic AI workflows. Built to consolidate my learning, deployed publicly in case useful to others.
Key features:
- Searchable content across 10 thematic areas
- Mobile-responsive design
- Offline-capable
- Google Analytics integration for usage tracking
Technical approach: HTML/CSS/JavaScript, deployed via GitHub Pages. Demonstrates both technical capability and knowledge synthesis.
View Project →Coming soon: A 'plug and play' MA & HEOR Reference Guide. Designed to facilitate onboarding and as a fully customizable training tool.
Professional Background
While this portfolio focuses on my AI transition work, my 12 years in pharmaceutical consulting provide the domain foundation:
Pharmaceutical Consulting Experience
Specializations:
- Health economics and outcomes research (HEOR)
- Market access and pricing strategy
- HTA submissions across 13 European countries
- Value communication and stakeholder engagement
- Payer research and negotiation training
Therapy areas: Rare diseases, hematology, oncology, diabetes
Notable projects: EU-wide HTA submissions, payer-validated value stories, global training programs, internal governance frameworks
View Full CV on LinkedIn →Cancer Research
Scientific Officer investigating phosphorylation cascades in paediatric tumours. Published original research used in national and European collaborations. This foundation in experimental design, statistical analysis, and biological systems thinking informs my approach to AI implementation today.
Key publications:
- Dual blockade of PI3K/AKT/mTOR and RAS/MEK/ERK pathways in rhabdomyosarcoma (Clinical Cancer Research, 2013)
- Antitumor activity of N-myc reduction and antigene therapy (Clinical Cancer Research, 2012)
Skills & Tools
AI & Technical: Machine learning fundamentals, Python, HTML/CSS/JavaScript, GitHub, data analysis, model evaluation frameworks
Domain Expertise: HEOR methodologies, HTA processes, payer research, regulatory frameworks (FDA, EMA, NICE, MHRA), health economics modelling, real-world evidence
Strategic: Stakeholder analysis, value communication, change management, project leadership, business development, training delivery
Current Focus
I'm building this portfolio strategically throughout my MA program, using each assignment as an opportunity to create genuine work rather than academic exercises. The goal is to emerge with:
- 10-12 high-quality projects demonstrating AI capability
- Track record of public work shared on LinkedIn
- Established thought leadership at the intersection of AI and pharmaceutical expertise
- Ready-to-present case studies for consulting opportunities
Check back regularly - this page will grow as new projects complete.