I am interested in politico-psychological and comparative approaches investigating dispositional and situational processes underlying ideological subscription. Having a penchant for psychometrics and random-effects models, I use these to evaluate current practices in the measurement of ideology. Open, cumulative and collaborative science enthusiast using #Rstats and #dataviz.
I am a Ph.D. candidate in Political Science at the Graduate School of Cologne University, a German Excellence center. I am currently visiting Professor John Jost at the Social Justice Lab of New York University ensuing from a Fulbright Research Award. Together we are investigating the politico-psychological underpinnings of the 2016 American Elections.
In my research, I use comparative approaches and latent variable modelling to investigate the dispositional and situational processes underlying ideological subscription. I am also interested in survey methodology applied to the measurement of latent constructs. Projects I am currently working on, and I can share preliminaries (in progress) results can be found here. Published research are delineated here.
For my Ph.D., I conduct analyses on cross-national differences with respect to populist proclivities, as well as evaluate the validity and psychometric properties of Populist instruments. A summary of my doctoral dissertation project on the topic of Populism can be found here.
I am affiliated with Cologne's Center for Comparative Politics, the Institute of Sociology and Social Psychology, and Team Populism. I was a visiting scholar (chercheur invité) at Sciences Po, CEVIPOF, Paris, France. I held visiting fellowships at Kent University, Amsterdam University, and Koblenz-Landau University.
I have taught statistical and R courses at Kent University and at Vrij Universiteit Amsterdam. Teaching materials, as well as slides from talks and conferences, are stored here.
Before undertaking a PhD, I worked as a research assistant at the Mathematical Institute of Leiden University, the Netherlands. I also assisted on teaching in a variety of statistics related courses at Leiden’s Faculty of Science in both undergraduate and graduate levels. Statistical tutorials, along with collected references, resources and lists which I have put together for myself on topics related to methods, statistics and R can be found here.
Also at Leiden University, I was formally educated in social psychology, political science & statistics. Detailed information are organized on my vitæ.
Lastly, as a mean to subsidize my studies, I worked as a statistical consultant for a number of departments at high-ranking universities. For information on this, please see here.
In my past non-academic life, I used to have time to go outside and take some photographs... you can find a few of them here.
GDPR & Legal Disclaimer
The new General Data Protection Regulation (GDPR), May 25 2018, requires a data transparency statement. This website is hosted by Squarespace which stores all of its data. Comments section has been removed for easier compliance. No plugins or back-end software are used to collect any user's data.
Views expressed on these web pages, projects, blog-posts or presentations are those of the author, and not those of the Cologne University (or other affiliations).
The main goal of this website is educational. In accessing the author’s personal web pages, you agree that any downloading of content is for personal, non-commercial reference only. No part of this web site may be reproduced or transmitted in any form or by any means, without prior explicit permission of the author.
Effort is made to obtain (and trace) the copyright of content on this web page. If for any reason you believe a part of this website contains copyrighted material, contact me and it will be removed as soon as possible (definitely within 30 working days).