curriculum vitae

Personal Information

Name Radoslava Švihrová (Radka)
Based in Lugano, Switzerland
Nationality Slovak
  Image of Radka
   

Education

University
09/2021 - 09/2025 PhD student in Computer Science, University of Bern and University of Applied Sciences and Arts of Southern Switzerland, Switzerland
  topic: Lifestyle quantification with data driven causal algorithms from wearable and contextual data for adaptive personalized behavioral change support system (working title)
  supervised by Prof. Dr. Athina Tzovara (UniBE), Dr. Francesca Dalia Faraci (SUPSI)
   
03/2025 - 04/2025 Visiting PhD student, Section of Biostatistics, University of Copenhagen, Denmark
  with Ass. Prof. Anne Helby Petersen
   
05/2020 Diploma (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
   
06/2017 Diploma (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
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
   
High School
06/2013 Matura, Billingual grammar school, Liptovský Mikuláš, Slovakia
   

Work Experience

09/2021 - 09/2025 PhD Student, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Lugano, Switzerland - Institute for Digital Technologies for Personalized Healthcare (MeDiTech) - Biomedical Signal Processing group (BSP)
  Design and development of personalised adaptive behavioral change support system on top of the existing mHealth solution with utilisation of bandit algorithms and behavioral modelling (CUOREMA project).
  Deriving statistical and causal insights on a personalised and population level from longitudinal data collected with wearable devices, digital diaries, other contextual information and validated questionnaires (CUOREMA, WRSD, MyDoctorLifestyle, RENEWAL projects).
  Collaborating on writing of ethical proposals and scientific grant proposals. Design of statistical methodology for feasibility studies (CUOREMA, Wearables and well-being projects).
  Communication and definition of system requirements with healthcare professionals and external industry partners.
  Statistical consulting for other projects at the institute.
   
06/2019 - 09/2021 Researcher and Data Scientist, Software Competence Center Hagenberg, Hagenberg, Austria
  Data analysis and statistical inference for projects involving collaborators from academia and industry, writting of reports for customers and scientific outcomes, communication with customers.
  Design and implementation of machine learning solutions for anomaly and fraud detection in the social contribution system (project together with social insurance in Austria).
  Design and implementation of machine learning solutions for classification and transfer learning with neural networks for anomaly detection in computer network security (IoT4CPS project).
   
2017 - 2020 Data Science freelancer
  Data analysis and statistical inference for semestral projects, academic theses and scientific reports, statistical consulting.
   
2016 - 2019 Administrative assistant, TPC Transformátory, s.r.o., Liptovský Mikuláš, Slovakia
  Communication with customers in English, invoicing.
   
2012 - 2016 Administrative assistant, Corvinus Travel, s.r.o., Liptovský Mikuláš, Slovakia
  English - Slovak translations, assistance in creating website and marketing materials.
   

Teaching Assistant

2022 - now Applied Statistics and Data Analysis
  semestral master course at SUPSI
2022 - now Artificial Intelligence, Deep Learning & Healthcare
  1 week summer school at Swiss School of Public Health
   
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
 

Computer Skills

R advanced, active
Python intermediate, active
Git intermediate, active
SQL beginner
LaTex advanced
MS Office intermediate
Notion intermediate, learning
 

Grants

2024 UniBE Short Travel Grants for (Post)Docs
2023 Labfront: Wearables and well-being
  Aiming to understand feasibility of telemonitoring with wearables for well-being
  Currently looking for participants across Switzerland for data collection, more details for interested participants on this link
 

Oral presentations

09/2024 Wearables and Sleep: Effect of circadian rhythm disruption on sleep quality, recovery and well-being
  at Giornata della Ricerca e dell’Innovazione in Medicina Umana della Svizzera Italiana, Lugano, Switzerland
09/2024 AI and Statistics in Medicine - invited talk
  with Michal Bechný, at AI and Medical Devices Conference, Prague, Czech republic
03/2024 Personalising adaptive interventions with Machine Learning - invited talk
  at Applied Machine Learning Days (AMLD) at EPFL, Lausanne, Switzerland
09/2023 Towards better health with wearables (and statistics)
  at 3rd Slovak and Czech Annual Symposium at ETH, Zürich, Switzerland
08/2020 A Semi-Supervised Approach for Network Intrusion Detection
  at 2nd Workshop on Industrial Security and IoT (WISI), The 15th International Conference on Availability, Reliability and Security (ARES), Dublin, Ireland, online due to pandemic
 

Scientific input

02/2025 Program committee member for Precision Health Day 2025, Lugano, Switzerland
 

Language Skills

Slovak mother language
Czech expert
English working profficiency
German basic communication, learning
Italian passive, basics, learning
 

Memberships

since 2024 Statisticians in the Pharmaceutical Industry
since 2024 Young Section of the European Sleep Foundation
since 2024 Austro-Swiss Section of International Biometric Society
 

Publications

R. Švihrová
Machine Learning Techniques for Intrusion Detection in Network Security
2020, Master Thesis, Johannes Kepler University, Linz, Austria

R. Švihrová, Ch. Lettner,
A semi-supervised approach for network intrusion detection
2020, In Proceedings of the 15th International Conference on Availability, Reliability and Security (pp. 1-6)

Abstracts

R. Švihrová, A. Dei Rossi, D. Marzoratti, A. Tzovara, F.D. Faraci
Wearables and sleep: effect of circadian rhythm disruption on sleep quality, recovery and well-being,
Presented at the 27th Meeting of the European Sleep Research Society, 2024, Seville, Spain

R. Švihrová, A. Dei Rossi, D. Marzoratti, M. Bechný, M. Grossenbacher, F.D. Faraci
Towards personalized burnout prevention system: Causal inference approach for understanding the effect of circadian rhythm disruption on well-being,
Presented at the World Sleep Congress, 2023, Rio de Janeiro, Brazil

M.Bechný, R. Švihrová, L.G. Arango, A. Baldassari, Y. Ilchenko, M. Grossenbacher, F.D. Faraci
Towards personalized burnout prevention system: a probabilistic approach for analysis of data from wearable devices with subjective feedback. A preliminary study,
Presented at the 26th Meeting of the European Sleep Research Society, 2022, Athens, Greece