I’m a Quantitative UX Researcher at Google (and YouTube), where I develop experiment infrastructure, analyze logs data, and do some statistical programming.
Prior to my current role, I was a Postdoc at Northeastern University’s Network Science Institute/Lazerlab. 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.
PhD in Political Science, 2015
In this post I teach a neural network the linguistic and geographical patterns of Swiss place names (‘toponyms’). The resulting model is able to generate new place names for a given location, predict the most likely location of an arbitrary (and potentially fictional) place name, and allows us to explore the geographic patterns underlying the distribution of Swiss place names.
I just spent way too long trying to set up a Mopidy audio server on my personal headless Linux machine, so I thought I might as well write down what I learned for posterity.