piwik-script

Deutsch Intern
Institute for Clinical Epidemiology and Biometry

Michael Stach

M.Sc. Michael Stach

Am Schwarzenberg 15, Haus A15

Short Resume

since 2023

 Research assistant at the Institute of Clinical Epidemiology and Biometry, University of Würzburg
2017-2022

Research assistant at the Institute of Databases and Information Systems, University of Ulm

2014-2016

M.Sc. Media Computer Science, University of Ulm, with focus on Distributed Systems & Information Systems
2010-2014

B.Sc. Media Computer Science, University of Ulm

 

Scientific Focus

Digital Health, Daily Life Research, Mobile Computing, Information Systems

Projects

Selected Publications

2020[ to top ]
  • Stach M, Vogel C, Gablonski TC, Andreas S, Probst T, Reichert M, Schickler M, Pryss R. Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy. Procedia Computer Science [Internet]. 2020;175:261-8. Available from: https://www.sciencedirect.com/science/article/pii/S187705092031718X
  • Stach M, Kraft R, Probst T, Messner EM, Terhorst Y, Baumeister H, Schickler M, Reichert M, Sander LB, Pryss R. Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps. In: 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS). 2020. pp. 427-32.
  • Mehdi M, Stach M, Riha C, Neff P, Dode A, Pryss R, Schlee W, Reichert M, Hauck FJ. Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment. JMIR Mhealth Uhealth [Internet]. 2020;8(8):e21767. Available from: http://mhealth.jmir.org/2020/8/e21767/https://doi.org/10.2196/21767http://www.ncbi.nlm.nih.gov/pubmed/32808939
  • Kraft R, Stach M, Reichert M, Schlee W, Probst T, Langguth B, Schickler M, Baumeister H, Pryss R. Comprehensive insights into the TrackYourTinnitus database. Procedia Computer Science [Internet]. 2020;175:28-35. Available from: https://www.sciencedirect.com/science/article/pii/S1877050920316872