Anna was a post-doctoral Research Fellow at University College Dublin, School of Computer Science in 2021-2022. She worked on the MetHealth project to develop machine learning based risk stratification models to identify obesity risk subtypes. In this project we collaborated with Dr Fiona McGillicuddy in the University College Dublin, School of Medicine.
Email: anna.antoniadi@hotmail.com
Scientific Interests: Bioinformatics, Health Informatics, Biomarkers
Education:
- PhD Computer Science– University College Dublin (2021), Thesis Title: “The Application of Explainable Artificial Intelligence in Modelling Quality of Life and Caregiver Burden in Amyotrophic Lateral Sclerosis to Inform Clinical Decision-Making”
- MSc Biostatistics– University of Glasgow (2017)
- BSc Computer Science– Athens University of Economics and Business (2016)
Papers:
- Yuhan Du, Anna Markella Antoniadi, Catherine McNestry, Fionnuala M McAuliffe, Catherine Mooney. (2022). The Role of XAI in Advice-Taking from a Clinical Decision Support System: A Comparative User Study of Feature Contribution-Based and Example-Based Explanations. Applied Sciences, 12(20), 10323. https://doi.org/10.3390/app122010323
- Anna Markella Antoniadi, Miriam Galvin, Mark Heverin, Lan Wei, Orla Hardiman, and Catherine Mooney. (2022). A Clinical Decision Support System for the Prediction of Quality of Life in ALS. J. Pers. Med 12, 435. https://doi.org/10.3390/jpm12030435
- Anna Markella Antoniadi, Miriam Galvin, Mark Heverin, Orla Hardiman, and Catherine Mooney. (2021). Prediction of Quality of Life in People with ALS: on the Road Towards Explainable Clinical Decision Support. ACM SIGAPP Applied Computing Review, 21(2), 5-17. https://doi.org/10.1145/3477127.3477128
- Anna Markella Antoniadi, Miriam Galvin, Mark Heverin, Orla Hardiman, and Catherine Mooney. (2021). Prediction of Caregiver Quality of Life in Amyotrophic Lateral Sclerosis Using Explainable Machine Learning. Scientific Reports, 11(1), 1-13. https://doi.org/10.1038/s41598-021-91632-2
- Antoniadi, A.M.; Du, Y.; Guendouz, Y.; Wei, L.; Mazo, C.; Becker, B.A.; Mooney, C. (2021). Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: a Systematic Review. Applied Sciences, 11(11), 5088. https://doi.org/10.3390/app11115088
- Anna Markella Antoniadi, Miriam Galvin, Mark Heverin, Orla Hardiman, and Catherine Mooney. (2021, March). Development of an explainable clinical decision support system for the prediction of patient quality of life in amyotrophic lateral sclerosis. In Proceedings of the 36th Annual ACM Symposium on Applied Computing (pp. 594-602). doi: https://doi.org/10.1145/3412841.3441940
- Anna Markella Antoniadi, Miriam Galvin, Mark Heverin, Orla Hardiman, and Catherine Mooney.
Awards:
- Fully funded full-time PhD Scholarship from FutureNeuro Research Centre and Science Foundation Ireland (SFI).
- FutureNeuro Education and Public Engagement (EPE) Champion of the Year (2021).
- Recognition of Student Achievement from UCD College of Science for the academic year 2018-2019.
- Best poster award in ITiCSE ’20.
- Horizon2020 and Marie Skłodowska-Curie Action RISE project Scholarship:Ten-month secondment scholarship for CareHD, an EU program that aimed to support people with Huntington’s Disease through technology.
Other Certifications: Certificate in GDPR & Data Protection, Institute of Public Administration
Computer Science Education:
- Leader, co-organiser and material-developer at the CS Sparks programme in UCD School of Computer Science for the academic year 2019-2020.
- Material-developer and tutor at the Future You Summer School of UCD Access & Lifelong Learning .
Volunteering:
- ITiCSE 2022 volunteer and organising committee member.
- UCD Women@CompSci co-founding and committee member.
- CS Sparks
Media: Interview for the Irish Times