Working papers / R&R
"Detecting and Mitigating Algorithmic Bias in Heterogeneous Treatment Effects: Theory, Methods, and Empirical Evidence"
with Jurrien Bakker, Dennis Bohle, Stefan Feuerriegel and Florian von Wangenheim
R&R at Management Science
Conference presentations: WoPA 2024 [video], Marketing Science 2023, TPM 2023, ACIC 2023 , Marketing Science: DEI Conference 2023
Seminar presentations: University of Zurich, Center of Economic Research at ETH Zurich, Machine Learning Foundations @ Booking.com
"Off-Policy Learning for Audience-Wide Content Promotions"
with Stefan Feuerriegel and Cristina Kadar
R&R at Management Science
(previously presented under other titles)
Conference presentations: 2023 INFORMS Annual Meeting, QME 2023, EURO Pricing and Revenue Management Workshop 2023, INFORMS RPM 2023, INFORMS MSOM 2023, Causal Data Science Meeting 2021, SCECR 2021, Marketing Science 2021, EC'23 (poster)
Seminar presentations: University of Zurich
Invited presentations: AI Keynotes @ LMU Munich, World Association of News Publishers (WAN-IFRA) [presentation]
"Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool"
with Floris Holstege, Mackenzie Jorgensen, Kirtan Padh, Jurriaan Parie, Krsto Prorokovic, and Lukas Snoek
Submitted to Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2025)
"EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context"
with Hannes Kunstmann, Joseph Ollier, and Florian von Wangenheim
Under review at Decision Support Systems