Daniel Reichenpfader

• Natural Language Processing

• Conversational User Interfaces / Health Chatbots

• Sentiment analysis of clinical narratives

• Scientific Topic Modelling

• AI for education

• 10/2020-08/2022 Research and Development Assistant Solgenium OG, Graz, AT
• 07/2020-09/2020 Intern - Integration and Customization Meierhofer Österreich GmbH, Graz, AT
• 12/2018-08/2019 Student Trainee AVL List GmbH, Graz, AT

• 2023-2027 PhD (Life Sciences) Université de Genève
• 2021 Exchange Semester Jönköping University, Jönköping, SE
• 2020-2022 MSc. (Information Management) FH JOANNEUM University of Applied Sciences, Graz, AT
• 2019 Exchange Semester BFH Bern University of Applied Sciences, Biel/Bienne, CH
• 2017-2020 BSc. (eHealth) FH JOANNEUM University of Applied Sciences, Graz, AT

• Reichenpfader D, Müller H, Denecke K. Large language model-based information extraction from free-text radiology reports: a scoping review protocol. BMJ Open. 2023.

• Denecke K, Reichenpfader D. Sentiment analysis of clinical narratives: A scoping review. J Biomed Inform. 2023 Apr;140:104336. Epub 2023 Mar 22. PMID: 36958461.

• Denecke K, Cihoric N, Reichenpfader D. Designing a Digital Medical Interview Assistant for Radiology. In: dHealth 2023. IOS Press; 2023. p. 60–6.

• Reichenpfader D, Gira M. User-Centered Design of a Speech-Based Application to Support Caregivers. In: Caring is Sharing – Exploiting the Value in Data for Health and Innovation. IOS Press; 2023. p. 778–82.

• Gabarron E, Dorronzoro E, Reichenpfader D, Denecke K. What Do Autistic People Discuss on Twitter? An Approach Using BERTopic Modelling. In: Caring is Sharing – Exploiting the Value in Data for Health and Innovation. IOS Press; 2023. p. 403–7.

• Reichenpfader, D., Abu Baker, M., & Bürkle, T. (2022). Digitizing the ECG Workflow - A State-of-the-Art Analysis. Studies in health technology and informatics, 292, 81–84. https://doi.org/10.3233/SHTI220327

• Reichenpfader, D., & Hanke, S. (2021). Requirements and Architecture of a Cloud Based Insomnia Therapy and Diagnosis Platform: A Smart Cities Approach. Smart Cities, 4(4), 1316–1336. https://doi.org/10.3390/smartcities4040070

• Reichenpfader, Daniel; Glauser, Robin Paul; Dugas, Martin; Denecke, Kerstin (2020). Assessing and Improving the Usability of the Medical Data Models Portal Studies in health technology and informatics, 271, pp. 199-206. IOS Press 10.3233/SHTI200097 <http://dx.doi.org/10.3233/SHTI200097>

Digital Audience Award

• German - Native or bilingual proficiency
• English - Full professional proficiency
• French - Limited working proficiency
• Italian - Elementary proficiency
• Swedish - Elementary proficiency

• Austria
• Sweden