Current Research Interests:

Having always had a passion for interdisciplinary research my interests span from sociology and politics to machine learning. Specifically, I am interested in advancing social science research and modelling by harnessing cutting-edge quantitative methods.

In my research I am investigating how recent social media phenomena influence political polarisation and opinion dynamics. In particular, I am analysing the propagation mechanism of fake news and seek to determine its empirical effects. Moreover, I am trying to model the formation and dynamics of so-called online echo chambers and their interplay with fake news propagation and political polarisation.

Social Science Interests:

Polarisation and mobilisation, opinion dynamics, social networks, information cascades, information bubbles and echo chambers, radicalisation

Computational Interests:

Machine learning, networks, clustering, NLP, causal inference, Bayesian analysis

Previous Research Interests:

Fat-tailed statistics and non-linear modelling in financial economics and macroeconomics. More precisely: Analysis of financial bubbles and macroeconomic cycles, financial puzzles such as the carry trade or noise trading, behavioural economics and its implications for the macroeconomy, modelling non-conventional economic behaviour, time series econometrics


Irrationality, Explosive Bubbles, and the Efficient Market Hypothesis: An Empirical Study; International Conference of Undergraduate Research (ICUR), September 2015

Awards, Grants, Funding:

2018-2022 I am generously funded by the Alan Turing Institute

2013-2017 I was generously funded by the Deutsche Studienstiftung (German National Academic Foundation)