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I've been fortunate to co-design and co-lecture the Game Theory and Control (ETH) and Social Computing (UZH) courses. Moreover, I've been a teaching assistant for Economics and Computation, Advanced Topics in Control, and Algorithmic Auditing.
Game Theory and Control
Game Theory and Control
Game theory is the study of strategic decision-making and was originally used to solve problems in economics. In this course, we study concepts and methods in non-cooperative game theory and show how these can be used to solve control design problems, emphasizing their possible use in control systems, robotics, and engineering applications. We also analyze how technological designs can impact individuals' strategic actions, leading to negative consequences for society (e.g., unfairness and inequality).
Social Computing
Social Computing
Social computing studies the intersection of social behavior and computing systems, with social behavior shaping how computing systems are designed and computing systems influencing how humans interact. In this course, we learn how to collect (via online experiments and digital traces) and generate (via agent-based modeling) data, as well as use this data to answer societally relevant research questions.Β
Thesis and Project Supervision
Thesis and Project Supervision
You can see my open thesis and project proposals on Sirop.Β
In addition to these, I am happy to work on other projects that intersect with my research interests or build upon my past work. To ease finding a nice fitting project, please make sure you include (a) your motivation for the project, (b) your CV and transcript of records, and (c) time constraints when reaching out.
Past Projects
Past Projects
π Lorenzo Calda, Preference Dynamics of Users at the Confluence of Performative Recommender Systems, 2026
π Kim Kleinlogel, The βGive-and-Takeβ in Recommender Systems: A Karma Economy for Fair Exploration, 2026
π Sophia Lahrech, Adversarial Interaction Attacks in Refugee Matching, 2026
π Idriss Benhallam, Fair Redesign of Online Ad Auctions with a Karma Economy, 2026
π Michael Andreas Ebling, When LLMs Evaluate LLMs in Hiring: A Multi-Model AuditingΒ Framework for Uncovering Trends in Preferences, 2025-2026
π Hailan Yang, From Surveys to Synthetic Daily Lives: Validating LLM-Based Agents for Residential Energy Simulation, 2025 - 2026
π Jair Reyes Gutierrez, Mitigating Opinion Polarization in Social Networks: A Recommender Strategy Design, 2025
π Moyi Li, The Impact of βDrβ Titles on the Perceived Credibility and Opinion Dynamics: a Data-driven Agent-based Model, 2023 - 2024
π Siqi Bao, Fairness of Content Creators with Different Posting Frequencies: a Simulation Approach, 2023
π Sabyasachi Banik, Ying Fan, Weihang Sun, An Agent-based Modelling Approach to Evaluate the Effects of Different Interventions on Reducing Game Addiction, 2023
π Chuqiao Yan, `Trust me; I'm a Dr.': the impact of titles on credibility online, 2022 - 2023
π Simon Giesch, Fairness in Online Ad Auctions: the Role of the Auction Mechanism, 2021 - 2022
π Christian Skorski, Predicting Ride-Hailing Demand: A Potential Solution For Decreasing the Income Inequality of Drivers, 2021 - 2022
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