Dr Areti Manataki

Lecturer

Phone: +44 (0)1334 46 3265
Email: A.Manataki@st-andrews.ac.uk

Biography

I am a Lecturer in Computer Science and a health data scientist. In my research, I employ artificial intelligence methods to improve the delivery of healthcare services. I have extensive experience in leading innovative online and blended courses, including MOOCs and upskilling courses for professionals.

Prior to joining the University of St Andrews in 2020, I was a Senior Researcher and a Teaching and Research Fellow at the University of Edinburgh, where I also obtained my PhD.

I am a Fellow of the Higher Education Academy and a member of the Young Academy of Scotland.

Teaching

I currently teach on:

CS5044: Information Visualisation
CS5040: Human Computer Interaction Principles and Methods

Research areas

In my research I employ artificial intelligence methods to improve the delivery of healthcare services. I am particularly interested in AI-enabled process modelling and mining, workflow analysis, data visualisation and their applications in healthcare.

Examples of projects that I have been involved in include: the analysis of disease trajectories of multimorbidity with the use of data science methods; the use of routinely collected data to improve patient flow through hospital; and advanced data visualisation to communicate key medical messages extracted from cancer data.

PhD supervision

Xinya Gong
Gen Li
Thu Nguyen
Tilcia Woodville-Price

Selected publications

Open access
Personal health data communication: techniques, tensions, and implications for design from a clinician perspective
Dunn, S., Capel, T., Manataki, A. & Bach, B., 13 Apr 2026, Proceedings of the 2026 CHI conference on human factors in computing systems (CHI'26). Oliver, N., Shamma, D. A., Candello, H., Cesar, P., Lopes, P., Bozzon, A., Kosch, T., Liao, V., Ma, X., Artizzu, V., Draxler, F., López, G., Reinschluessel, A. V. & Tong, X. (eds.). New York, NY: ACM, 16 p. 1336. (CHI conference proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open access
The trials of designing communication aids for clinical trials: challenges and recommendations from practicing co-design in the domain of medical research
Dunn, S., Weber, B., Studer, D., Manataki, A., Bally, L., Bach, B. & Capel, T., 12 Jun 2026, Proceedings of the 2026 ACM Designing Interactive Systems Conference. Yen, C. C., Lee, J.-J., Do, E.Y.-L., Zheng, C., Yoo, D. & Tang, T. (eds.). New York, NY: ACM, p. 1702-1720 19 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open access
The use of machine learning to predict pharmacological therapy in gestational diabetes: a scoping review
Kirkwood, J. R., Galloway, N., Lindsay, R. S., Manataki, A., Wake, D. J. & Reynolds, R. M., 1 Feb 2026, In: Diabetic Medicine. 43, 2, 11 p., e70171.
Research output: Contribution to journal › Review article › peer-review
Open access
Analysing disease trajectories of multimorbidity through process mining techniques: a case study
Petrov, D., Nguyen, T., Manataki, A. & McCowan, C., 28 Mar 2025, Process mining workshops: ICPM 2024 international workshops, Lyngby, Denmark, October 14–18, 2024, revised selected papers. Delgado, A. & Slaats, T. (eds.). Cham: Springer Nature Switzerland AG, p. 460-472 13 p. (Lecture notes in business information processing; vol. 533).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open access
A typology of data concepts and contexts in clinician-patient communication
Dunn, S., Manataki, A., Capel, T. & Bach, B., 30 Dec 2025, 2025 IEEE visualization conference – short papers. Piscataway, NJ: IEEE Computer Society, p. 286-290 5 p. (IEEE visualization conference proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open access
Student perspectives on learning analytics
Lin, A., Manataki, A. & Miguel, A., 17 Oct 2025, Proceedings of the 2025 IEEE international conference on advanced learning technologies (ICALT). Chang, M., Chen, S., Kuo, R., Sampson, D., Tlili, A. & Tsai, P.-S. (eds.). Piscataway, NJ: IEEE Computer Society, p. 101-103 3 p. 11194855. (IEEE International Conference on Advanced Learning Technologies (ICALT)).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open access
User needs assessment for gestational diabetes care and management digital tool: A Qualitative Study: a qualitative study
Kirkwood, J. R., Dickson, J., Manataki, A., Lindsay, R. S., Wake, D. J. & Reynolds, R. M., 15 May 2025, Intelligent health systems – from technology to data and knowledge: Proceedings of MIE 2025. Andrikopoulou, E., Gallos, P., Arvanitis, T. N., Austin, R., Benis, A., Cornet, R., Chatzistergos, P., Dejaco, A., Dusseljee-Peute, L., Mohasseb, A., Natsiavas, P., Nakkas, H. & Scott, P. (eds.). Amsterdam: IOS Press / Sage, p. 944-948 5 p. (Studies in health technology and informatics; vol. 327).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open access
Visualising uncertainty of vaccine data
Lin, Q., Donnelly, P. D. & Manataki, A., 15 May 2025, Intelligent health systems – from technology to data and knowledge: Proceedings of MIE 2025. Andrikopoulou, E., Gallos, P., Arvanitis, T. N., Austin, R., Benis, A., Cornet, R., Chatzistergos, P., Dejaco, A., Dusseljee-Peute, L., Mohasseb, A., Natsiavas, P., Nakkas, H. & Scott, P. (eds.). Amsterdam: IOS Press / Sage, p. 497-501 5 p. (Studies in health technology and informatics; vol. 327).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open access
Challenges and opportunities in data visualization education: A call to action
Bach, B., Keck, M., Rajabiyazdi, F., Losev, T., Meirelles, I., Dykes, J., Laramee, R. S., AlKadi, M., Stoiber, C., Huron, S., Perin, C., Morais, L., Aigner, W., Kosminsky, D., Boucher, M., Knudsen, S., Manataki, A., Aerts, J., Hinrichs, U. & Roberts, J. C. & 1 others, Carpendale, S., Jan 2024, In: IEEE Transactions on Visualization and Computer Graphics. 30, 1, p. 649-660
Research output: Contribution to journal › Article › peer-review
Open access
ClickTree: a tree-based method for predicting math students’ performance based on clickstream data
Rohani, N., Rohani, B. & Manataki, A., 17 Oct 2024, In: Journal of Educational Data Mining. 16, 2, p. 32-57 26 p.
Research output: Contribution to journal › Article › peer-review

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