Panels & Organization
Invited discussant
Session organizer — "Causal Machine Learning for Endogeneity Problems in Recommender Systems"
Panelist — "First Five Years in Tech"
Panelist — "Challenges and Careers in Causal Inference outside of Academia"
Session Chair — "Machine Learning and Optimization Applications"
INFORMS Annual Meeting 2023
Program Committees
Workshop on Platform Analytics (WoPA) 2025, 2026 — UCSD
Reviewing
WoPA 2026 · AAAI 2026 · MLHC 2026 · NeurIPS 2025 · ICML 2025 · WoPA 2025 · MLHC 2025 · KDD 2024 · CHIL 2023 · ACIC 2023 · MLHC 2022 · CHIL 2022 · AISTATS 2021 · Journal of the Operational Research Society
Mentoring
Lund University School of Economics and Management — BSc Programme in Business & Economics
USF Mentorship Program — MSc in Applied Economics
Teaching
Marketing Analytics
ETH Zurich, MTEC Master — Spring 2022, Spring 2023
Business Analytics
ETH Zurich, Management, Technology & Economics Master — Spring 2020
Applied Business Analysis
Lund University, MSc Industrial Management — Spring 2020
Supervision
Hannes Kunstmann, MSc ETH MTEC, ETH Zurich (2024)
Nicolas Marxer, MSc ETH MTEC, ETH Zurich (2023)
Philipp Niggli, MSc Statistics, ETH Zurich (2022)
Theresa Blümlein, MSc Statistics, ETH Zurich (2021)
Amray Schwabe, MSc Computer Science, ETH Zurich (2021)
Raphael Seebacher, MAS Management, Technology, and Economics, ETH Zurich (2021)
Non-profit & Open Source
Algorithm Audit
Core member since 2022. Advise on research methods and open-source software for bias detection in machine learning systems.