My academic background runs parallel to my technical work — and informs it more than it might seem. Both theses sit at the intersection of technology, power, and human behaviour. Both were written because the questions genuinely bothered me.

2025 Uniwersytet SWPS, Warsaw
5/5 Distinction

Contemporary Art Facing the Socio-Environmental Costs of Artificial Intelligence: A Case Study Approach

data ingestion · transformer architecture · inference pipeline

Through three pivotal installations — ArchaeaBot, Unsupervised, and Data Garden — this thesis interrogates AI’s role as both a generative medium and a tool for institutional critique. The research maps the aesthetic and ideological dimensions of AI: its entanglements with surveillance capitalism, the ecological footprint of digital infrastructure, and the shifting dynamics of human-technology relations.

The central argument: what artists make visible about AI’s material costs is often more precise — and more damning — than expert technical commentary. Art as a form of infrastructural criticism.

“A work situated within the ‘material turn’ of AI analysis. It masterfully demonstrates how AI — as a social actant — intersects with new forms of capitalist surveillance, exploitation, and colonization. The author’s extensive literature review and ability to bridge theoretical frameworks with empirical research are exceptional.”

— Dr. Kuba Piwowar, Reviewer

“An excellent, timely topic. Analyzing artistic works that problematize AI provides one of the most fascinating insights into the material side of artificial intelligence, standing alongside expert narratives. A solid, rigorously developed text on the aesthetic and ideological aspects of the digital age.”

— Dr. hab. Mirosław Filiciak, Reviewer

2023 University of Warsaw, Faculty of Sociology
4.5/5 Very Good

The Algorithmic Echo: Filter Bubbles and the Digital Practices of Young Poles

filter bubbles · echo chambers · algorithmic isolation

Grounded in Schatzki’s Social Practice Theory, this study investigates how algorithmic curation mediates the everyday digital lives of young adults — where data-driven content selection limits information plurality. Through In-Depth Interviews, it assesses levels of algorithmic awareness and identifies the specific tactics individuals use to maintain cognitive diversity inside personalised echo chambers.

The finding that bothered me most: most people know the bubble exists. Few know how to puncture it — and fewer still try.

“A critical and necessary challenge to democratic discourse. The author successfully captures the tension between automated content delivery and human agency, providing a clear-eyed analysis of how filter bubbles differ from traditional gatekeeping.”

— Dr. Jakub Motrenko, Reviewer

“A logical and rigorously developed text. The systematic classification of empirical material — from privacy concerns to the mechanisms of algorithmic radicalization — offers fascinating insights into the material side of social media.”

— Dr. hab. Anna Przybylska, Reviewer

Research Interests

These aren’t topics I’ve filed away — they come up in my day job more than you’d expect.

Digital Materialism
The physical reality behind “the cloud”: energy, water, minerals, labour. Every query has a cost. Data infrastructure is the most material thing in the world, and we’ve agreed to pretend it isn’t.
Algorithmic Subjectivity
How recommendation systems shape not just what people see, but what they believe is possible for them. The filter bubble isn’t primarily an information problem — it’s an imagination problem.
Sustainable Data Architecture
Whether it’s possible to build data systems that don’t reproduce the extractive logic they’re usually built on. An open question I take seriously when making architectural decisions.

Full texts available on professional request.