You can find and download my academic CV here: CV.pdf
After growing up in Siena in Italy (until 2009) and finishing school in Germany (in 2014), I decided to study Culture and Economy at the Univeristy of Mannheim . I was introduced to psycholinguistics and linguistics in general in my major English and American studies where I graduated with my B.A. in 2017. During my bachelor studies I was able to do an ERASMUS+ semester abroad at the Norwegian University of Science and Technology, NTNU in Trondheim, Norway.
Between my BA and MA studies I decided to work for one year by doing two six months internships. I first worked in marketing and event management at HUSS-Verlag GmbH, afterwards I worked at the Deutsche Bahn (DB AG) in Berlin. Here I supported the further development of the career website (Karriereportal) of the Deutsche Bahn. In this project I was part of the User Experience (UX) Research and UX Design of the website. I was also involved in the initial stage of the project to implement a chat bot. Based on these experiences I decided to study computational linguistics in my masters.
In 2018 I started my MA studies in linguistics with a major in computational linguistics at Bielefeld University. In my thesis project I implemented a version of a Rational Speech Act model (RSA) to model politeness and collected the data for the implementation with an online study. The aim of the implementation of a version of the RSA was to consider social influences in the modeling of politeness that were not implemented in the already existing versions (Yoon et al., 2016). You can read more about this project in this paper Lumer & Buschmeier (2022).
After my MA studies I started to work as a research associate and was enrolled as a PhD Student at Bielefeld University with the Digital Linguistics Lab. In addition to my research I have been teaching different courses and seminars at both BA and MA level for students of different study programs. The seminars I taught were concerned with diverse topics e.g. on politeness in human–robot interaction, research methods in human–robot interaction, expectations regarding human–robot interaction), or markup languages (HTML, XML, XPath, XQuery, LaTex).