Profile
About
I am a final-year Biomedical Science student at Anglia Ruskin University in Cambridge. My profile combines biomedical science, a full-year commercial health innovation placement, governance-bound data research and early computational toxicology experience.
Working direction
Biomedical evidence with an adoption lens
I am strongest where scientific information needs to be turned into structured, practical judgement covering what the evidence says, what it does not say, where a technology might fit, its financial implications and what remains uncertain.
- Biomedical science interpreted through clinical context, data and decision-making.
- Healthcare innovation work that connects product claims, evidence quality, pathway fit and stakeholder needs.
- AI/MedTech governance literacy across regulation, evidence standards, data protection, interoperability, policy and post-market risk.
- Governance-bound health-data research with explicit limits around clinical utility and public disclosure.
Academic profile
Biomedical Science grounding
The degree has given the scientific base behind my commercial and governance work: pathology, genetics, microbiology, pharmacology, translational medicine, data analysis/interpretation and scientific writing.
Anglia Ruskin University, Cambridge Professional experience
During my Health Innovation East placement, I worked on NHS-facing commercial health innovation questions across evidence briefs, market intelligence, competitor analysis, adoption logic, business-case support, pathway evaluation and practical AI/MedTech guidance-support material.
Research and data work
My final-year project used secure, genomics-linked hospital trajectory analysis (through machine learning) in a Brugada-suspect cohort. I focus on the research design, governance handling and limitations avoiding overstating clinical use.