Center for Medical Data Science (Institute of the Science of Complex Systems)
Position: Research Associate (Postdoc)
ORCID: 0000-0001-7168-3310
Keywords
Complexity Science; Data Science; Machine Learning; Network Medicine
Research interests
Elma Dervic is a postdoctoral fellow at the Complexity Science Hub and the Medical University of Vienna.
She completed her PhD at CSH and the Medical University of Vienna in January 2023. Elma holds a bachelor’s and a master’s degree in electrical engineering from the University of Montenegro, which she earned in 2015 and 2017, respectively. Before joining CSH, Elma was a junior researcher at the First Center of Excellence (BIO-ICT) at the University of Montenegro.
Elma is a co-founder of BeeAnd.me, a venture-funded IoT startup that uses technology to help beekeepers and bees through data science. She is known as a 3-time “share positive impact” TEDx speaker. Elma’s research interests include machine learning, network science, and everything impactful related to data science.
Currently, she is working with medical data on unraveling disease trajectories. Furthermore, she is working on trading data to analyze systemic risk in supply chains.
Selected publications
- Dervić, E. et al. (2024) ‘Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks’, npj Digital Medicine, 7(1). Available at: https://doi.org/10.1038/s41746-024-01015-w.
- Dervić, E. et al. (2025) ‘Comorbidity Networks From Population-Wide Health Data: Aggregated Data of 8.9M Hospital Patients (1997–2014)’, Scientific Data, 12(1). Available at: https://doi.org/10.1038/s41597-025-04508-9.
- Deischinger, C. et al. (2020) ‘Diabetes mellitus is associated with a higher risk for major depressive disorder in women than in men’, BMJ Open Diabetes Research & Care, 8(1), p. e001430. Available at: https://doi.org/10.1136/bmjdrc-2020-001430.
- Haug, N. et al. (2020) ‘Ranking the effectiveness of worldwide COVID-19 government interventions’, Nature Human Behaviour, 4(12), pp. 1303–1312. Available at: https://doi.org/10.1038/s41562-020-01009-0.
- Desvars-Larrive, A. et al. (2020) ‘A structured open dataset of government interventions in response to COVID-19’, Scientific Data, 7(1). Available at: https://doi.org/10.1038/s41597-020-00609-9.