Jubileejoy "JJ" Zirebwa Biomedical science | Genomics | Health Data

Profile

About

I graduated with First-Class Honours in BSc Biomedical Science (Hons) from Anglia Ruskin University in Cambridge (July 2026). I combine biomedical science, genomics-linked health data research, a full-year health innovation placement, AI/MedTech governance literacy and earlier computational toxicology data work. I use Jubileejoy Zirebwa professionally, but "JJ" works fine too.

Working direction

Biomedical evidence, data and practical judgement

I am strongest where scientific information has to be read carefully, structured into evidence and carried into a decision without losing the limits of the data.

Final-year project Academic profile Get in touch
  • Biomedical science interpreted through clinical context, genetics, data and careful evidence reading.
  • Genomics-linked health data research with cohort construction, feature reasoning and explicit governance limits.
  • 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.
  • Systems-thinking across adoption, incentives and implementation without treating strategy as the whole profile.
Degree BSc (Hons) Biomedical Science, Anglia Ruskin University, Cambridge.
Status Graduate; First Class Honours awarded on 10 June 2026.
Placement year Health Innovation East commercial placement, 2024-2025.
Academic classification First Class Honours with final award transcript password protected and available on request.

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 material in a Brugada-suspect research context. It covered cohort construction, ICD/HES-derived features, observability controls and baseline model comparison, with clear limits around clinical use.