I'm a postdoctoral researcher at the
Institute for Analytical Sociology (IAS)
at Linköping University, Sweden.
I study legislative debates and political texts.
I analyze mechanisms of policymaking and how political regimes change
based on what issues politicians talk about and vote on. To do so, I
approach large parliamentary corpora such as the Congressional Record
using large-scale text analysis.
Political Sociology • Computational Social Science • Analytical Sociology • Computational Text Analysis/NLP • Legislative Debates • Policymaking • U.S. Congress • Science of Science • Ethics of AI
On October 20, 2025, I successfully defended my dissertation thesis at Linköping University. You can read more in the university's official press release.
Currently, I am involved in studying three distinct corpora: German and Swedish parliamentary debates to study discursive polarization; a corpus on computer science Security & Privacy research to study ethical behavior; and one on Swedish folkhögskolan to study how these schools have reacted to, and shaped large social shifts throughout the longue durée.
Academic Research
I am affiliated with the Institute for Analytical Sociology (IAS), Linköping University, Sweden. My research intersects with political and economic sociology, text analysis and computational social science. Find out at which conferences I'll be this year, and see my blog for bits and pieces on everything academic.
Conferences 2026
Tap to view detailsMost Recent Article: No, AI is not going to kill us all
Published September 19th, 2026
Abstract: Currently, the "AI is going rogue" narrative has a resurgence after a staff member from Anthropic quit, quoting lacking AI safety efforts. I argue that Large Language Models (LLMs) are sophisticated tools, not autonomous entities. Incidents like the Hugging Face exploit do not indicate a loss of control. To the contrary, I contend that LLMs remain strictly governed by human-designed "harnesses," allowing engineers to retain absolute control over their capabilities. Technically, current LLM architectures lack the capacity for true sentience or uncontrollable self-evolution. Ultimately, I conclude that the widespread fear of AI doom is a socio-economic construct. This rhetoric primarily benefits major AI labs by enabling them to secure monopolies and rationalize their massive, unsustainable business models.
Open Source development
When I'm not analyzing policymaking and individual behavior in parliaments, I advocate for Open Source. Since at least 2006 I have been a user, supporter, and contributor to Free and Open Source Software (FOSS).
My main project is Zettlr. It is a "one-stop publication workbench" targeted at students and researchers in the arts and humanities. I started working on it in 2017 and have been the project lead ever since.
After the Twitter-exodus began, I started the go-to list for finding your peers, Academics on Mastodon. It lists hundreds of people from dozens of fields and Mastodon instances so that you can orient yourself in this new social media.
You can find more info on my involvement with software on my GitHub profile.