Contents

Curriculum Vitae

updated on 7 July 2022
since July 2022
Lead Data Scientist
@ Smart Care Austria, LINET Group, Austria
Driving and leading data science initiatives for R&D towards smart nursing care solutions in and around the bed. Algorithm development and Machine Learning Engineering.
June 2021 to June 2022
Senior Data Scientist
@ Takeda Manufacturing Austria AG, Manufacturing Sciences Vienna, Austria
Management of Digital & Data Science projects and initiatives. Data analyses towards process improvements and technical problem solving. Data Engineering with various source systems and interfaces. Education of Citizen Data Scientists.
February 2020 to May 2021
Data Scientist
@ Takeda Manufacturing Austria AG, Manufacturing Sciences Vienna, Austria
Data investigations towards process improvements and technical problem solving. Data Engineering with various source systems and interfaces.
February 2019 to March 2019
Visiting Researcher
@ Massachusetts General Hospital, Boston, USA
Department of Radiation Oncology; Deformable registration of CT/CBCT images for radiation therapy; extending Plastimatch
November 2017 to January 2020
Junior Scientist
@ Institute of Biomedical Image Analysis, UMIT Tirol, Austria
Research topics include biosignal processing and image segmentation, machine/deep learning and ballistocardiography.
September 2016 to February 2017
Research Assistant
@ Microelectronics and Implantable Systems, University of Innsbruck, Austria
development of interactive web applications for innovative teaching of the course Digital Technology
September 2016 to February 2017
Research Assistant
@ Institute of Biomedical Image Analysis, UMIT Tirol, Austria
working on topics including radiomics and deep learning: computer-aided analysis of medical images; extraction of radiomics features; application of convolutional neural networks
November 2015 to January 2018
Master of Science (Dipl.-Ing.)
@ University of Innsbruck and UMIT Tirol
Mechatronics (specializing in biomedical engineering).
Thesis: Deep Learning and Radiomics in Medical Image Analysis
October 2012 to November 2015
Bachelor of Science
@ University of Innsbruck and UMIT Tirol
Mechatronics (specializing in biomedical engineering)
S. M. Pröll, R. Schubert, C. Kolbitsch, S. Hofbauer, E. Tappeiner, and K. D. Fritscher, “Heart rate estimation from ballistocardiographic signals using deep learning,” Physiological Measurement, vol. 42, no. 7, p. 075005, Jul. 2021, doi:10.1088/1361-6579/ac10aa.
S. M. Pröll, S. Hofbauer, C. Kolbitsch, R. Schubert, and K. D. Fritscher, “Ejection Wave Segmentation for Contact-Free Heart Rate Estimation from Ballistocardiographic Signals,” 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3571–3576, Jul. 2019, doi:10.1109/EMBC.2019.8857731.
E. Tappeiner, S. M. Pröll, M. Hönig, P. F. Raudaschl, P. Zaffino, M. F. Spadea, G. C. Sharp, R. Schubert, K. Fritscher, “Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach,” International Journal of Computer Assisted Radiology and Surgery, 2019, doi:10.1007/s11548-019-01922-4.