Curriculum Vitae
Education
- PhD in Computer Science, University of Tromsø, 2025
- M.Sc. in Cognitive Science, University of Tübingen, 2020
- Erasmus in Theoretical Linguistics, University of Tromsø, 2018
- B.Sc. in Cognitive Science, University of Tübingen, 2017
Work experience
- 2020 - 2025: PhD in Computer Science
- Research on the processing of raw acceleration data to study human behavior in Public Health Studies
- Supervisor: Professor Dr. Alexander Horsch
- 2016 - 2019: Research Assistant / Software Developer (Part-time)
- Department of Linguistics, University of Tübingen
- Duties included: Developing and maintenance of pyndl, a python implementation of the naive discriminative learning algorithm
- Supervisor: Professor Dr. Harald Baayen
- 2014 - 2018: Teaching Assistant in Computer Science and Cognitive Science (Part-time)
- Department of Computer Science and Psychology, University of Tübingen
- Duties included: Mentoring students in several lectures
- Lectures and Supervisors:
- Computer Science 1, held by Professor Dr. Wolfgang Küchlin
- Computer Science 2, held by Professor Dr. Torsten Grust
- Experimental Cognitive Science, held by Professor Dr. Bettina Rolke and colleagues
- Computer Science 1, held by Professor Dr. Klaus Ostermann
- Mathematical Statistics, held by Professor Dr. Rolf Ulrich
- Computational Statistics, held by Martin Loosert, Msc
Publications
Weitz, M., Syed, S., & Horsch, A. (2025). PAAT: Physical Activity Analysis Toolbox for the analysis of hip-worn raw accelerometer data in Python. Journal of Open Source Software, 10(111), 8136. https://doi.org/10.21105/joss.08136
Hammer, T. M., Johansson, J., Emaus, N., Furberg, A.-S., Gracia-Marco, L., Morseth, B., Nilsen, O. A., Ubago-Guisado, E., Vlachopoulos, D., Weitz, M., Evensen, E., & Christoffersen, T. (2025). Changes in accelerometer-measured physical activity and self-reported leisure time physical activity from adolescence to young adulthood: A longitudinal cohort study from the Fit Futures Study. International Journal of Behavioral Nutrition and Physical Activity, 22(1), 99. https://doi.org/10.1186/s12966-025-01799-4
Weitz M., Syed S., Hopstock L. A., Morseth B., Henriksen A., & Horsch, A. (2025) Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study. PLOS ONE 20(5): e0321558. https://doi.org/10.1371/journal.pone.0321558
Weitz, M., Morseth, B., Hopstock, L. A., & Horsch, A. (2024). Influence of Accelerometer Calibration on the Estimation of Objectively Measured Physical Activity: The Tromsø Study. Journal for the Measurement of Physical Behaviour, 7(1). https://doi.org/10.1123/jmpb.2023-0019
Sering, K., Weitz, M., Shafaei-Bajestan, E., & Künstle, D. E. (2022). Pyndl: Naive discriminative learning in python. Journal of Open Source Software, 7(80), 4515. https://doi.org/10.21105/joss.04515
Software
Sering, K., Weitz, M., Künstle, D. E., & Schneider, L. (2018). Pyndl: Naive discriminative learning in python. doi: 10.5281/zenodo.597964
Theses
Weitz, M. (2025). Device-based measurement of lifestyle-related variables from the hip url.
Weitz, M. (2020) Audiovisual processing in a spatial detection task (Master’s Thesis, pdf, GitHub).
Weitz, M. (2017) Self-organisation in a model of auditory speech processing (Bachelor’s Thesis, pdf, GitHub).