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 ACM Conference on Fairness, Accountability, and Transparency (FAccT)
"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
Publications
"Monitoring the COVID-19 Epidemic with Nationwide Telecommunication Data"
with Jurriaan Parie and Stefan Feuerriegel
PNAS (June 2021)
[online supplements] [code]
Invited talks: Public Health Agency of Canada, National Institute of Statistics and Economic Studies in Luxemburg (STATEC) [slides]
Poster presentation: AI+X Summit @ ETH AI Center
Selected media coverage: CNBC, The Telegraph, Florida News Times, The Greater India, Radio Canada, Bild, LeFigaro, Times of Malta
"Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic, Switzerland, March to December 2020"
with Adrian Lison, Nicolas Banholzer and Stefan Feuerriegel
Eurosurveillance (2022)
[online supplements]
"Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine"
with Theresa Blümlein and Stefan Feuerriegel
Machine Learning for Healthcare (MLHC) 2022
[code]
Presentations: MLHC 2022, University of Zurich
"Predicting COVID-19 Spread from Large-Scale Mobility Data"
with Amray Schwabe and Stefan Feuerriegel
KDD 2022
Presentations: KDD 2021
Other publications
"7 ways to invest in better digital technology to fight pandemics"
with Stefan Feuerriegel
World Economic Forum (July 2021)
Service
Reviewer for: ICML 2025, WoPA 2025, MLHC 2025, KDD 2024, CHIL 2023, ACIC 2023, MLHC 2022, CHIL 2022, AISTATS 2021, Journal of the Operational Research Society.
Conference organization, program committee, and panelist
On the program committee of Workshop on Platform Analytics (WoPA) 2025 at UCSD
Session organizer ”Causal Machine Learning for Endogeneity Problems in Recommender Systems” at NABE TEC 2024
Panelist in ”First Five Years in Tech” at NABE TEC 2024
Spotify Research representative at Dagstuhl Seminar "Leveraging AI for Management Decision-Making"
Panelist in ”Challenges and Careers in Causal Inference outside of Academia” at ACIC 2024
Session Chair ”Machine Learning and Optimization Applications” at 2023 INFORMS Annual Meeting