Experience
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since March 2024
Self-employed@ Sample Data Science e.U., Innsbruck, Austria I am offering support and services in data science and machine learning applications. I can help you get up and running with hands-on data science. In particular, I would like to help highly motivated subject matter experts who want to broaden their domain-specific skillset with data science tools. |
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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. |
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June 2021
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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. |
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February 2020
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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. |
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February 2019
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March 2019
Visiting Researcher@ Massachusetts General Hospital, Boston, USA Department of Radiation Oncology; Deformable registration of CT/CBCT images for radiation therapy; extending Plastimatch |
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November 2017
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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. |
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September 2016
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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 |
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September 2016
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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 |
Education
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November 2015
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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 |
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October 2012
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November 2015
Bachelor of Science@ University of Innsbruck and UMIT Tirol Mechatronics (specializing in biomedical engineering) |
Publications
| 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. |