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.