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Radoslava Švihrová

About

Researcher

Statistical AI, Causal Inference and Structure Learning, Digital Health, Real World Evidence

Skills

Artificial Intelligence

Artificial Neural Networks

Bayesian networks

Biomedical Applications

Causal Inference

Data Analysis

Data Science

Deep Learning

Exploratory Data Analysis

Keras

Machine Learning

Python

R

Statistical Data Analysis

Statistics

Unsupervised Learning

Wearables

Open for

cofounder

fulltime

parttime

Work Experience

Independent

2026-01 -

Workplace
Researcher
Location

Zürich

Employement type

parttime

University of Applied Sciences and Arts of Southern Switzerland (SUPSI)

2021-09 - 2025-09

Workplace
Doctoral Researcher
Location

Ticino

Employement type

fulltime

Design and development of RL-enhanced personalized behavioral change support system for increasing of adherence in home-based cardiac rehabilitation with digital health solution. Processing and analysis of longitudinal data from wearables and mobile devices. Data collection, ethical protocols, dissemination of results. System requirement specification with industry partners and medical professionals. Teaching and theses supervision.

Software Competence Center Hagenberg, AT

2019-06 - 2021-08

Workplace
Researcher and Data Scientist
Location

Linz, Austria

Employement type

fulltime

Statistical modelling and data science on various projects, in collaboration with industrial partners.

Academic Experience

Johannes Kepler University, Linz -

 

2017.10 - 2020.05

Master of Science, MSc in Statistics with focus on Data Science

University Palacky, Olomouc (CZ) -

 

2013.09 - 2017.08

Bachelor of Science, BSc in Mathematics with focus on economics and banking

University of Applied Sciences and Arts of Southern Switzerland -

 

2021.09 - 2025.11

Philosophical Doctorate, PhD in Computer Science