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Recommender Systems · Algorithmic Fairness · Game Theory · Social Choice · Complex Networks · Agent-Based Modeling
Recommender Systems · Algorithmic Fairness · Game Theory · Social Choice · Complex Networks · Agent-Based Modeling
I am a postdoctoral researcher at ETH Zurich with an interest in analyzing the societal impact of visibility allocation systems.
I work on the societal impact of information access and decision-support systems. From recommender systems to outcome-based matching mechanisms, I examine the benefits these systems induce for the population of stakeholders and question how they balance efficiency with fairness. I use (1) conceptual modeling (data flow diagrams and abstraction hierarchies) to increase the transparency of such systems, (2) mathematical modeling to investigate incentives, uncover impossibilities, and provide theoretical guarantees, and (3) computational modeling to experiment with alternative system designs.
See also CV - Research Projects - Publications - Teaching.
News
News
Future
Future
📅 [October 2026] Giving a talk on how Social Media affects Society at an outreach event organized by POP Impact Lab in Zürich, Switzerland.
📅 [October 2026] Attending RecSys, Minneapolis, Minnesota, USA.
📅 [September 2026] Visiting several labs in the Netherlands:
Giving a talk on adversarial interaction attacks at the Eindhoven Artificial Intelligence Systems Institute.
Giving a talk titled Is an Extra Good Recommendation Equally Valuable to Me and to You?: Comparability in Recommender System Evaluation at the COMSOC Seminar, ILLC in Amsterdam.
Giving a talk on challenges in evaluating fairness in recommender systems at TU Delft.
Past
Past
📣 [August 2026] Our paper Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems was accepted at EMNLP 2026.
📣 [August 2026] Our paper Recommend Me First: How the Relative Ordering of Recommendations Can Lead to Unfair Outcomes for Content Creators was accepted at BEYOND RecSys 2026.
📣 [August 2026] Our paper A Unified Framework for Evaluating Systems that Allocate Visibility Algorithmically was accepted at USRW RecSys 2026.
📣 [July 2026] Our paper Comparability for Recommendation Model Evaluation and Selection from a Multi-stakeholder Perspective was accepted at RecSys 2026.
📣 [June 2026] Our extended abstract Recommend Me First: How the Order of Recommendations Can Lead to Unfair Outcomes for Content Creators was accepted at ECAF 2026.
See more
See more
📣 [June 2026] Our extended abstract When LLMs Evaluate LLMs in Hiring: A Multi-Model Auditing Framework for Generative Preference Bias in AI-Assisted Recruitment was accepted at ECAF 2026.
📣 [May 2026] Giving a talk on adversarial interaction attacks in matching markets at the Algorithmic Days of Romania (ZAR 2026).
📣 [May 2026] Our paper 📎 From Static Surveys to Living Agents: A Generative LLM-Agent Workflow for Residential Energy Simulation was accepted at SocialSys 2026.
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