Lena Hettinger, Dipl.-Math.

Science Manager
Chair of Data Science (Informatik X)
University of Würzburg
Campus Hubland Nord
Emil-Fischer-Straße 50
97074 Würzburg
Germany
Email: lena.hettinger[at]uni-wuerzburg.de
Phone: (+49 931) 31 - 89675
Office: Room 50.03.003 (Zentrum für Künstliche Intelligenz und Data Science (CAIDAS))
Office Hours: Mon - Thu 9.00 - 11.00
About me
Natural Language Processing - Machine Learning - Digital Humanities
I have been part of the DMIR Research Group since I received my diploma degree in Mathematics in 2012 at the University of Würzburg. For the first two years I was mainly teaching, afterwards joining the Kallimachos group to research genre distributions in German novels. In 2016/17 I was on maternal leave, followed by work on transfer learning in the context of NLP to improve supervised tasks like semantic relation classification. I am interested in processing textual data to extend digital and human knowledge about language.
Since 2019 I am responsible for the administrative and scientific management of the newly established Data Science Chair. Since 2021 I am acting as deputy head of the Servicezentrum Informatik/CAIDAS (SIC).
Activities
- Local Chair ECMLPKDD 2019
- Women's Representative for the Institute of Computer Science at the University of Würzburg (2013-2015)
Publications
Teaching
WS 2018/19: Ausgewählte Themen des Machine Learning (seminar)
SS 2018: Ausgewählte Themen des Machine Learning (seminar)
WS 2015/16: Ausgewählte Themen des Web 2.0 (seminar)
WS 2015/16: Algorithmen und Datenstrukturen für WiInf und MCS (tutorials)
SS 2015: Ausgewählte Themen des Web 2.0 (seminar)
WS 2014/15: Algorithmen und Datenstrukturen für WiInf und MCS (tutorials)
SS 2014: Ausgewählte Themen des Web 2.0 (seminar)
WS 2013/14: Ausgewählte Themen des Web 2.0 (seminar)
WS 2013/14: Algorithmen und Datenstrukturen für WiInf und MCS (tutorials)
SS 2013: Ausgewählte Themen des Web 2.0 (seminar)
WS 2012/13: Ausgewählte Themen des Web 2.0 (seminar)
WS 2012/13: Algorithmen und Datenstrukturen für WiInf und MCS (tutorials)