Chancellor's Fellow at University of Edinburgh's Usher Institute
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Edinburgh
Data Scientist
June 26, 2026 – Present
treatment-outcomes
June 24, 2024 – June 28, 2024
Real-world severe COVID-19 outcomes associated with use of antivirals and neutralising monoclonal antibodies in Scotland
View ProjectAsthma_Reviews
February 3, 2024 – February 3, 2024
An analysis of asthma review attendance and associated factors
View Projectasthma_mortality_ICD
July 11, 2023 – December 6, 2023
A study on how asthma-related mortality is coded using ICD10
View Projecttreatment-uptake
June 2, 2023 – June 24, 2024
Uptake of monoclonal antibodies and antiviral therapies for COVID-19 in Scotland
View ProjectAsthma_Attack_Risk_Classifier
February 24, 2022 – March 18, 2025
Asthma_Attack_Risk_Classifier — GitHub repository
View Projecthollytibble.github.io
December 6, 2021 – Present
hollytibble.github.io — GitHub repository
View ProjectBTS_Step_Derivation
August 17, 2021 – November 7, 2022
A repository for my work on estimating BTS Steps from EHR prescription records
View ProjectSalford-Lung-Study_Adherence-Linkage
September 26, 2019 – December 4, 2020
We have developed an accurate probabilistic record linkage methodology matching a large percentage of pharmacy dispensing records with primary care prescribing records for asthma medications. This will allow researchers to link datasets in order to more accurately extract information about asthma controller medication non-adherence.
View ProjectElectronic-Monitoring-Device-Adherence-Typology
September 6, 2019 – December 4, 2020
Study Aim: To construct a data-driven multi-dimensional typology of medication non-adherence in children with asthma.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in the healthcare and medical research domain, specifically asthma. While this shows deep domain expertise, it suggests a potentially narrow focus. The projects are all personal, which indicates initiative but lacks insight into collaborative work environments. The single current role as a Data Scientist at a university aligns with the target role, but the lack of diverse project types or team-based work makes a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a focus on research and analytical tasks, which aligns with a data scientist role.