About me

a picture of me

I am an undergraduate studying Computational Linguistics at the University of Potsdam.

My main interests include affective computing, artificial intelligence (especially deep neural networks), dialogue systems, machine translation, sentiment analysis, speech recognition and speech synthesis.

I'm working as a student assistant at "Leibniz-Zentrum Allgemeine Sprachwissenschaft (ZAS)" for the group "SIGames" which seeks to provide empirical basis for the comparison of major theories of scalar implicature in complex sentences by designing and conducting linguistic experiments.
My main task is designing and implementing these experiments.

If you are interested in the programming projects I have done, please have a look on this webpage.

The projects were mainly inspired by the courses I took in university and by my interests.

If you want to hire me, please check my CV. (PDF)


In my leisure time I enjoy semi-professional acting.
I'm in a drama group and we regularly have performances.

Leonce und Lena (2016), by Georg B├╝chner (1836); as Leonce and a servant.

Der Dieb, der angerufen wurde (2014), an adaption of 'The Virtuous Burglar' by Dario Fo (1958); as the burglar.


Here is a list of some of the programming projects I have done in the recent past.
You can also check my Github profile.

Language Identification: Unigram language models for 12 European
languages were trained on the EuroParl corpus.

The following languages are currently supported: Bulgarian, Czech, Danish, English, Finnish, French, German, Greek, Hungarian, Italian, Portuguese and Spanish.

A demo is available here.
Sentiment Analysis: Based on a tutorial on Kaggle I trained a Random Forest Classifier to classify an input text either as negative or as positive.
It looks for words which carry a positive or negative sentiment and decides the class.
HMM: Implementation of a class to represent hidden Markov models (HMMs) in C++, including the Viterbi algorithm and the forward algorithm.