Simon David Lindner PhD
Complexity Science Hub · Medical University of Vienna · Vienna, Austria
My research focuses on complex systems and network science applied to health and language. I have established data-driven frameworks for epidemiology and healthcare analytics, ranging from wastewater-based forecasting to mapping gender-specific multimorbidity networks.
Currently, I am expanding these methods to natural language processing by analyzing the semantic topology of legal texts at the SUSTech-ETH Risks-X Institute. This expertise underpins my proposed research in computational psychiatry, where I aim to track temporal network dynamics in psychotherapy to predict patient outcomes and visualize therapeutic change.
I completed my PhD in Complex Systems at the Medical University of Vienna, where I worked on data-driven approaches to healthcare analytics and wastewater-based epidemiology. As a member of Austria’s COVID-19 Forecasting Committee, I developed forecasts that informed national public health decisions.
news
| May 12, 2026 | New blog post: built an interactive Monte Carlo animation for Jan Korbel et al.’s spin-glass group formation model (PRL 2023), on which I’m a co-author — drag the temperature slider to watch opinion clusters form and dissolve. |
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| Apr 21, 2026 | New preprint out: Care Trajectories Are Linked to Mental Health and Mortality in Cancer Patients — we use Dynamic Time Warping and Hierarchical Clustering to analyze longitudinal care patterns in over 8,000 haematologic malignancy patients. |
| Apr 09, 2026 | Successfully defended my PhD thesis — Statistical network approach to identify gender-related factors and interactions in chronic diseases — at the Medical University of Vienna. 🎓 |
| Feb 05, 2026 | Launched my new personal website! Excited to share my research here. |