Kathleen Wiencke studied mathematics (major) and Geoecology (minor) at the University of Postdam. In 2013 she finished her diploma thesis “A Bayesian Mixed Model For InSAR Timeseries Analysis” in collaboration with the Volcanotechtonics group of the German Research Center for Geosciences (GFZ Postdam). After she has worked on a project on the designation of forest plant seeds with respect to climate change (NW-FVA, Hann. Münden) she joint the Lab in Nov 2014 as a PhD candidate. Her focus is on computational modelling of dopamine transmission and cognition in reinforcement learning.
|2014—||PhD Student Leipzig University Medical Center, Leipzig (Germany), Guest Researcher, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig (Germany)|
|2014||Research assistant, NW-FVA, Hann. Münden (Germany)|
|2013||Diploma Thesis, University of Potsdam, Faculty of Mathematics, Potsdam (Germany)|
Poessel, M., Freiherr, J., Wiencke, K., Villringer, A., & Horstmann, A. (2019).
Insulin resistance is related to olfactory sensitivity to food odors independent of BMI.
Poster presented at 3rd Nordic Neuroscience Meeting, Helsinki, Finland.
Wiencke, K., Horstmann, A., Villringer, A., & Neumann, J. (2019). A
computational model for dopamine transmission in the human brain. Poster presented at 2019 OHBM Annual Meeting,
Wiencke, K., Horstmann, A., & Neumann, J. (2016). Forward
models of reinforcement learning in obesity. Poster presented at Bernstein Conference, Berlin, Germany.
Wiencke, K., Horstmann, A., & Neumann, J. (2015). An integrative
parameter estimation method for reinforcement and neural models. Poster presented at 5th Annual JAGS and WinBUGS
Workshop: Bayesian Modeling for Cognitive Science, Amsterdam, the Netherlands.
Wiencke, K., Walter, T. R., Manzo, M., Manconi, A., Solaro, G., & Lanari, R. (2012).
InSAR time series monitoring at Istanbul city shows faulting, landslides and soil compaction.
Poster presented at European Geosciences Union General Assembly 2012, Vienna, Austria.