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

Stach, M., Pflüger, F., Reichert, M., Pryss, R., 2022. LAMP: a monitoring framework for mHealth application research. Procedia Computer Science 198, 203–210. https://doi.org/10.1016/j.procs.2021.12.229

Beierle, F., Schobel, J., Vogel, C., Allgaier, J., Mulansky, L., Haug, F., Haug, J., Schlee, W., Holfelder, M., Stach, M., Schickler, M., Baumeister, H., Cohrdes, C., Deckert, J., Deserno, L., Edler, J.-S., Eichner, F.A., Greger, H., Hein, G., Heuschmann, P., John, D., Kestler, H.A., Krefting, D., Langguth, B., Meybohm, P., Probst, T., Reichert, M., Romanos, M., Störk, S., Terhorst, Y., Weiß, M., Pryss, R., 2021. Corona Health—A Study- and Sensor-Based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 18. https://doi.org/10.3390/ijerph18147395

Stach, M., Vogel, C., Gablonski, T.-C., Andreas, S., Probst, T., Reichert, M., Schickler, M., Pryss, R., 2020b. Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy, in: The 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC), Procedia Computer Science. Presented at the International Conference on Mobile Systems and Pervasive Computing (MobiSPC), Elsevier, Leuven, Belgium, pp. 261–268. https://doi.org/10.1016/j.procs.2020.07.038

Stach, M., Kraft, R., Probst, T., Messner, E.-M., Terhorst, Y., Baumeister, H., Schickler, M., Reichert, M., Sander, L.B., Pryss, R., 2020a. Mobile Health App Database - A Repository for Quality Ratings of mHealth Apps, in: 33rd IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS). Presented at the 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS), IEEE, Rochester, MN, USA, pp. 427–432. https://doi.org/10.1109/CBMS49503.2020.00087