Current direction

Now

This page tracks what I am actively sharpening now covering where I am moving, what questions I keep returning to and how my strongest evidence connects to the next stage of work.

Last updated 19 June 2026

Current direction Focus now, sharper questions, clearer direction.
Focus Questions Direction
  1. NowCurrent focus
  2. NextSharper questions
  3. RouteEvidence-led roles

Present tense

Current focus

Rather than listing everything I could do, this page highlights the strands I am actively deepening because they best connect to my experience and the work I want to keep doing.

Focus 01

Biomedical science and genomics-linked data

Making the final-year project easier to evaluate from cohort logic, ICD/HES-derived features, observability controls, model comparison and clear limits around clinical interpretation. I want to find a reproducible approach to sparse data-handling that the reality of clinical coding and rare disease could benefit from

  • Biomedical Science
  • Genomics-linked data
  • FYP evidence
Focus 02

Weak-signal biomedical methods

Pushing the final-year project logic further into methods thinking for sparse data, study-design support, measurement prioritisation and disciplined hypothesis generation.

  • Weak-signal recovery
  • Method discipline
  • Measurement priorities
Focus 03

AI/MedTech governance that can actually be used

Continuing the translation work between regulation, evidence standards, clinical safety, information governance and the practical questions that shape adoption conversations.

  • Governance translation
  • Clinical safety
  • Adoption questions
Focus 04

Health innovation strategy without losing the science

Keeping the Health Innovation East and AI/MedTech governance work visible while making sure the scientific and data-analysis foundation remains the first signal.

  • Health innovation strategy
  • Evidence synthesis
  • Balanced profile

Questions

Questions I am sharpening

These are the recurring questions behind my work, because answering solves the tension that is found between scientific evidence, method design and practical healthcare judgement.

  • How do you recover useful signal in sparse biomedical data without pretending the evidence is stronger than it is?
  • What makes an AI/MedTech evidence story credible enough for real pathway and adoption conversations?
  • How should commercial health innovation work separate strong proof, plausible promise and unresolved validation gaps?
  • Which judgement steps can be made more repeatable without flattening the biological, clinical or governance rationale that still matters?

Direction

Direction I am moving toward

I am moving toward early-career roles where biomedical evidence has to be interpreted, challenged and translated into strategic, governance-aware or research-grounded action.

In practice this means roles concerned with biomedical evidence, genomics or health data, applied analytics, healthcare innovation, evidence synthesis and AI/MedTech governance. The through-line is the kind of problem: messy evidence, real constraints and a decision that still has to be made properly.

  • Biomedical science
  • Genomics and health data
  • Machine learning baselines
  • Health innovation strategy
  • Health innovation analysis
  • Evidence synthesis
  • AI/MedTech governance

Recent movement

Recent updates

Selective profile and portfolio updates, written for people reading the work and tracking how the public evidence is developing.

Profile direction

Graduate status and data-project evidence brought forward

My First Class status in Biomedical Science is now confirmed and the portfolio now gives the final-year genomics-linked health data project a stronger public route, including a cleaned pipeline representation and selected documents.

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Portfolio launch

Portfolio shaped around evidence, direction and contact

The homepage now gives a clearer first route through my strongest healthcare innovation evidence, current direction and contact details for professional conversations.

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Case studies

Public case studies added for healthcare innovation and research work

The case-study section now brings together my Health Innovation East placement, AI/MedTech toolkit work, market intelligence, final-year research and toxicology data-mapping experience.

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Profile direction

Future methods interest clarified from final-year research

My projects page now makes the link between rare-disease research limits, weak-signal judgement and future interest in biologically informed evidence methods clearer for readers.

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