Gracia Andriamiadana
London
Summary
PhD student in health data science with a focus on cancer research and large-scale biomedical data analysis. Over 5 years of experience in academic research, bioinformatics, and data science, proficient in Python, R, and SQL. Skilled in applying statistical modelling and machine learning techniques to clinical, imaging, and population-scale datasets.
Overview
6
6
years of professional experience
2
2
years of post-secondary education
Work history
Research Assistant
Eliptica Ltd. & Queen Mary University of London, UK
07.2025 - 12.2025
- Contributed to research collaboration on predictive value of proteomics for incident health outcomes, such as cancer and cardiovascular disease
Teaching Assistant
Queen Mary University of London, UK
09.2024 - 12.2025
- Delivering teaching support for MSc Bioinformatics modules in Python programming and biostatistics using R for cohorts of 40+ students
Data Assistant
Queen Mary University of London, UK
03.2024 - 06.2024
- Cleaned and processed large datasets on PhD studentships, generating summary statistics across multiple faculties and major funding sources
- Designed Power BI dashboards and research reports to visualise studentship trends and financial distribution
Student Assistant
AG Global Digital Health, Charité Berlin, Germany
06.2020 - 04.2022
- Analysed health data from mobile digital health wallet application in Madagascar, producing insights that informed programme evaluation and broader digital health intervention planning
- Built KPI dashboards using Metabase BI and Tableau, integrating multi-source data to track real-time performance of digital health wallet
Intern
Berlin Institute of Health Core Unit Bioinformatics, Germany
07.2019 - 08.2019
- Analysed DNA and RNA sequencing data of colorectal cancer patients in R
- Conducted literature reviews and contributed to research proposal writing
Education
PhD - Health Data In Practice
Queen Mary University of London
London 11.2023 - 12.2025
MRes - Health Data In Practice
Queen Mary University of London
London 09.2022 - 9 2023
MSc - Bioinformatics
Queen Mary University of London
London 09.2021 - 9 2022
Skills
- R
- Python
- SQL
- Bash/Unix
- Tableau
- Power BI
- Data Analysis
- Data Visualisation
- Project Management
- KPI dashboard creation
- Statistical modelling
- Research proposal writing
Languages
German
Native
English
Fluent
Malagasy
Advanced
French
Intermediate
Spanish
Intermediate
Norwegian
Elementary
Projects
- Multi-cohort International Collaboration Study, October 2024 - present
- MRC-funded collaboration between Queen Mary University of London and Helmholtz Institute for Infection Research on cardiovascular remodelling and SARS-CoV-2 using data from the UK Biobank and NAKO cohorts, Core team member for statistical modelling, data analysis and data harmonisation for cross-cohort studies
- Web Application Development Group Project, January 2022 - March 2022
- Developed a web application using Flask and SQLite for single nucleotide polymorphism data retrieval and visualisation (see GitHub), Led data processing, visualisation and software documentation in LaTeX AI for Health Software Group Project, April 2019 - June 2019, Built predictive machine learning algorithms to identify high-risk postoperative delirium cases and evaluated model performance
Accomplishments
Received €500 ESMO Merit Travel Grant to attend ESMO 2025 Congress
Publications
- Andriamiadana, G. et al. (2024). “CMR 4-137 Past Breast Cancer Is Linked to Increased Cardiovascular Risk and Adverse Remodelling of the Heart.” Journal of Cardiovascular Magnetic Resonance. DOI
- Knauss, S., Andriamiadana, G., et al. (2024). “Effect of the COVID-19 Lockdown on Mobile Payments for Maternal Health: Regression Discontinuity Analysis.” JMIR Public Health and Surveillance. DOI
- Andriamiadana, G., et al. (2025). “EACR25-0423 Cardiac Remodelling and Incident Cardiovascular Risk in Haematological Cancer Survivors from the UK Biobank.” Molecular Oncology (EACR 2025 Congress Abstracts, 19 Suppl 1), 647. DOI
- Petersen, S., Cooper, J., Szabo, L., Andriamiadana, G, et al. (2025). “Cardiovascular Disease Burden and Risk Factor Management in Cancer Survivors: Insights from a Multi-Ethnic, Socio-Economically Deprived Urban Population.” BMJ Heart. DOI
- Ladoukaakis, E., Andriamiadana, G. et al. (2025). Epigenetic Biomarkers for Cervical Cancer Progression: A Scoping Review. International Journal of Molecular Sciences. DOI
Timeline
Research Assistant
Eliptica Ltd. & Queen Mary University of London, UK
07.2025 - 12.2025
Teaching Assistant
Queen Mary University of London, UK
09.2024 - 12.2025
Data Assistant
Queen Mary University of London, UK
03.2024 - 06.2024
PhD - Health Data In Practice
Queen Mary University of London
11.2023 - 12.2025
MRes - Health Data In Practice
Queen Mary University of London
09.2022 - 9 2023
MSc - Bioinformatics
Queen Mary University of London
09.2021 - 9 2022
Student Assistant
AG Global Digital Health, Charité Berlin, Germany
06.2020 - 04.2022
Intern
Berlin Institute of Health Core Unit Bioinformatics, Germany
07.2019 - 08.2019