curriculum vitae
Personal Information
| Name | Radoslava Švihrová (Radka) |
| Based in | Zürich, Switzerland (work permit B) |
| Nationality | Slovak |
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Work Experience
| 05/2026 - now | Postdoctoral researcher, Zürich University of Applied Sciences (ZHAW) |
| Digital Twins from medical time-series data | |
| 05/2026 - now | Associate researcher, Department of Intensive Care Medicine, University Hospital Zürich (USZ) |
| Statistical modelling | |
| 12/2025 - now | Researcher and consultant, Independent |
| Diabetes and sleep: wearable data preparation, research question formulation, statistical analysis, reporting | |
| ML-based prediction: analytical pipeline, statistical analysis and evaluation, reporting and visualization | |
| Interactive dashboard: development of R Shiny application, deployment to google cloud | |
| 09/2021 - 09/2025 | Doctoral researcher, Biomedical Signal Processing group, MeDiTech, SUPSI (Lugano, Switzerland) |
| CUOREMA: RL-based adaptive interventions for remote cardiac rehabilitation (myHeart app); study design, ethical proposal, real-world evaluation; data querying (API) and processing; communication with doctors and SW engineers | |
| Burnout prevention: processing pipeline for multi-modal intensive longitudinal data from wearables and mHealth; Bayesian mixed-effects models (RStan); collaboration with psychiatrists and startup founders (resilient.ai) | |
| Lifestyle quantification: statistical modelling, causal inference and discovery with observational longitudinal wearable and mHealth data (pcalg, bnlearn) | |
| Critical Care Datathon 2025 (ESICM): track real-world evidence: causal discovery and target trial emulation on ICU data | |
| Wearables and well-being study: funding acquisition, ethics, study design, data collection and statistical analysis | |
| My Doctor’s Lifestyle app: study design, communication with lifestyle doctor and developers, participant management, statistical analysis, student supervision | |
| Teaching and supervision: Applied Statistics and DS (Master’s), SSPH+ summer school; thesis supervision; statistical consulting | |
| Writing: scientific publications, peer-reviews, funding proposals | |
| 06/2019 - 09/2021 | Researcher and Data Scientist, Software Competence Center Hagenberg, Hagenberg, Austria |
| IoT4CPS: anomaly detection in network security; semi-supervised approach with autoencoders, transfer learning (Keras, TensorFlow); R Shiny analytical toolbox | |
| Fraud detection: anomaly detection with statistical and ML methods for Austrian social insurance | |
| Cutting tool optimization: translation of benchmark system from Excel to Python | |
| 2017 - 2020 | Data Science freelancer |
| Statistical inference and consulting for academic theses, semestral projects and scientific reports | |
Education
| University |
| 09/2021 - 11/2025 | PhD. in Computer Science, University of Bern, Switzerland |
| thesis: Adaptive Interventions and Causal Inference in Digital Health | |
| supervised by Prof. Dr. Athina Tzovara (UniBE), Dr. Francesca Dalia Faraci (SUPSI) | |
| 03/2025 - 04/2025 | Visiting, Section of Biostatistics, University of Copenhagen, Denmark |
| topic: Causal discovery and inference from time series data: towards dynamic causal network | |
| with Assist. Prof. Anne Helby Petersen | |
| 09/2017 - 05/2020 | MSc. in Statistics with focus of Data Science, Institute of Applied Statistics, Johannes Kepler University, Linz, Austria |
| thesis Machine Learning Techniques for Intrusion Detection in Network Security | |
| supervised by Assoz. Univ.-Prof.in Mag.a Dr.in Helga Wagner | |
| 09/2013 - 06/2017 | Bc. in Mathematics with focus on economics and banking, Palacký University Olomouc, Czech republic |
| thesis Definite integral of single variable function and its applications | |
| supervised by Mgr. Iveta Bebčáková, Ph.D. | |
| Attended courses |
| 07/2025 | Deep Learning Reinforcement Learning Summer school certificate, Edmonton, Canada |
| 04/2025 | European Causal Inference Meeting Ghent, Belgium |
| 04/2024 | European Causal Inference Meeting Copenhagen, Denmark |
| 02/2024 | Causal Thinking in Clinical Trials by Basel Biometrics Society, Basel, Switzerland |
| 06/2023 | Prob AI Summer school on probabilistic modeling, Trondheim, Norway |
| Certificates |
| 06/2026 | Good Clinical Practice - Basic course, by University Hospital Zürich |
| 02/2025 | Data or Specimens Only Research by CITI program, certificate |
| 09/2021 | Transfer Learning for NLP with TensorFlow Hub by Coursera project network, certificate |
| 11/2020 | Natural Language Processing with Classification and Vector Spaces by Deeplearning.AI at Coursera, certificate |
| High School |
| 06/2013 | Matura, Billingual grammar school, Liptovský Mikuláš, Slovakia |
Scientific input
| 02/2025 | Program committee member for Precision Health Day 2025, Lugano, Switzerland |
| 02/2026 | Program committee member for Precision Health Day - AI Enabled 2026, Lugano, Switzerland |
Teaching Assistant
| 2022 - 2025 | Applied Statistics and Data Analysis |
| semestral master course at SUPSI | |
| 2022 - 2025 | Artificial Intelligence, Deep Learning & Healthcare |
| 1 week summer school at Swiss School of Public Health, organized by BSP-SUPSI | |
| Supervised Theses |
| 2024 | Wearable Data: Towards Data Extraction and Cross Device Feature Mapping Using NLP-Inspired Methods by Delara Lomen, Bachelor Thesis at the Università della Svizzera italiana |
| 2023 | Framework for personalized goal recommendation in habit creation. Wearable data analysis and feature extraction by Jakub Tłuczek, Master Thesis at the University of Neuchâtel |
Seasonal Jobs
| 2018 sum. | allrounder at Hotel Tiefenbach, Switzerland |
| 2017 sum. | cleaning at Hjá Marlín, Iceland |
| 2016 win. | help in service in Restaurant Margaretenhof, Germany |
| 2016 sum. | allrounder at Tölzer Hütte, Austria |
| 2016 sum. | fruit picking at farm, Italy |
Skills
| Active | R, Python, MS Office, Latex, Notion |
| Experiences | SQL, Git, MongoDB |
Grants
| 2025 | Travel grant by Faculty of Science, University of Bern |
| For attendance at the World Sleep Congress 2025 in Singapore |
| 2025 | CIFAR travel grant |
| For attendance at the Deep Learning Reinforcement Learning summer school 2025 |
| 2024 | UniBE Short Travel Grants for (Post)Docs |
| For the research stay at the University of Copenhagen in 2025 and attendance of EUROCIM 2025 |
| 2023 | Labfront: Wearables and well-being |
| Aiming to understand feasibility of telemonitoring with wearables for well-being | |
| Dataset to be published soon. |
Language Skills
| Slovak | mother language |
| Czech | expert |
| English | working profficiency |
| German | basic communication, learning |
| Italian | passive, basics, learning |
Memberships
| 2024 - 2025 | Statisticians in the Pharmaceutical Industry |
| since 2024 | Young Section of the European Sleep Foundation |
| since 2024 | Austro-Swiss Section of International Biometric Society |