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Zidan Korkmaz

@zidankorkmaz

Medical statistics and data science student at UCL who simulated 48,000+ clinical trials to compare fixed and Bayesian adaptive randomisation.

United Kingdom
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At University of Southampton, I built a Monte Carlo simulation framework in R to compare fixed and Bayesian adaptive randomisation in two-arm clinical trials. Across 48,000+ simulated trials, Bayesian randomisation allocated 83% of participants to the superior arm versus 50% with fixed randomisation, with a power cost of up to 15 percentage points.

For my clinical trial survival analysis project, I fitted Cox proportional hazards models to a 197-patient diabetic retinopathy trial. I also compared methods for tied survival times and assessed a Weibull accelerated failure time model as an alternative to Cox regression.

I'm studying for an MSc in Medical Statistics and Data Science at University College London (UCL), following a BSc in Mathematics with Actuarial Science from University of Southampton. My projects have also included lung cancer survival analysis using SAS and Python, with ECOG performance status emerging as the strongest predictor in the Cox model.

Experience

Work history, roles, and key accomplishments

WS
Current

Security Steward

Wise Security Services

Aug 2026 - Present (2 months)

Delivered frontline safety and crowd-control operations at large-scale events, ensuring compliance with venue safety protocols and licensing requirements. Regulated access control, crowd flow, and real-time incident escalation, coordinating with control rooms and emergency services.

Education

Degrees, certifications, and relevant coursework

University College London (UCL) logoUU

University College London (UCL)

MSc, Medical Statistics and Data Science

2026 -

Grade: Expected Distinction

Pursuing an MSc in Medical Statistics and Data Science with an expected distinction, focusing on medical statistics, pharmacometrics, and inference at scale.

University of Southampton logoUS

University of Southampton

BSc, Mathematics with Actuarial Science

2023 - 2026

Grade: 2:1

Completed a BSc in Mathematics with Actuarial Science with a 2:1, including a mathematics project scored at 83% and mathematical biology at 66%.

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