SalamI'm

Nael Alqtati

Second-year PhD in clinical machine learning at Newcastle, and senior growth work across MENA. The calendar looks like two careers; the work is one habit - be plain about gaps, measure honestly, and keep what delivers. Three ways I tell that story:

Stakes

I work where wrong answers hurt - in medicine and in markets.

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Clinical models touch people with limbal stem cell deficiency and other corneal disease: a confident prediction that fails can send someone down the wrong pathway. In growth, the failure mode is different but just as concrete - budget burned on channels that never pay back, or scaling a narrative the data never supported. Both sides need the same habit: state the uncertainty, test honestly, and let evidence trim the ambition.

Research track

Signal

Prediction where the data is messy: biology and growth.

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IVCM and clinical cohorts give rich but sparse, noisy measurements - small N, artefacts, and labels that are never as clean as Kaggle. Acquisition funnels look huge by comparison, yet they are just as messy: attribution gaps, platform drift, promos and seasonality stacked on top of human behaviour. The through-line is feature discipline and calibration: building models that survive contact with reality, not slides.

Growth track

Scale

From small clinical cohorts to million-user funnels.

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The PhD work lives in careful cohorts and lab-grade imaging; the operator work has meant shipping measurement and performance systems where millions of installs and transactions are on the line. Neither context rewards hand-waving. One asks for sensitivity to rare disease dynamics; the other for throughput, guardrails, and executive-ready narratives - but both reward the same instinct to separate signal from story.

Case studies

Right now: second-year PhD at Newcastle University; growth work across MENA eCommerce - most recently Nana.sa.

research

Clinical Research

Predictive machine learning for limbal stem cell deficiency - a corneal surface disease - at Newcastle University.

Newcastle PhD · Imperial MSc · Chevening

Enter the research trackgrowth

Growth Operations

Ten years scaling MENA consumer apps. AI-native performance marketing, attribution, and measurement.

Nana.sa · Rasseed · 10y MENA

Enter the growth track
  • 2,040,879mobile installs delivered (Nana.sa, 2025)
  • $10M+B2C gift-card revenue (Rasseed, 2020–21)
  • 1peer-reviewed paper, DOI-linked
  • 10years operating across MENA

Recently

  • Apr 2026Open to selective fractional and advisory growth engagements - advisory.
  • Mar 2026Presented “Establishing the Fractal Nature of Corneal Epithelial Cell Boundaries” at BAMC 2026 and the SAgE Faculty Research Conference - talks.
  • Feb 2026Concluded the Nana.sa engagement after the company’s highest acquisition year on record - case study.

Signals

Newcastle PhD · Imperial Alumnus · Chevening Scholar · MENA Specialist · IVCM Studio · AI Agent Ops