Things about me
I’m a Quantitative UX Researcher at Google, based in Zurich. Before joining Google, I was a Postdoctoral Research Associate in Computational Social Science at Northeastern University’s Lazerlab, located at both the College of Computer and Information Sciences and the Department of Political Science. During my time in Boston, I was also a Postdoctoral Affiliate at Harvard University’s IQSS. I hold a PhD from ETH Zurich, where I was part of the ICR group, as well as the ETH Risk Center.
My academic work focused primarily on adopting methods from machine learning and computational statistics to study macropolitical outcomes, like armed conflict, protest, and elections. In some of my past projects I…
- Used deep neural networks to study the relationship between accessibility and conflict (see Fig. 1)
- Developed methods for modeling very large spatio-temporal data sets
- Used methods from computer vision to predict the emergence of clusters
- Proposed a sparse Bayesian network for predicting elections from social media data
I’ve also developed a number of software packages that use R as an interface to fast, scalable c++ code.