Invited Talks

Leveraging AI for Management Decision-Making
Dagstuhl Seminar, Schloss Dagstuhl, Aug 2024
Using Causal ML to Select Articles for Promotion on the Homepage and Optimize Article Performance
World Association of Newspapers and News Publishers, Online, Nov 2023
Monitoring the COVID-19 Epidemic with Nationwide Telecommunication Data
Public Health Agency of Canada, Online, Feb 2022
Causal Machine Learning for Health Management
Chair of Medical Informatics, University of Zurich, Virtual, Feb 2022
Off-Policy Learning of Dynamic Content Promotions
AI Keynotes, LMU Munich, Nov 2021
Monitoring the COVID-19 Epidemic with Nationwide Telecommunication Data
National Institute for Statistics and Economic Studies (STATEC), Luxembourg, Jan 2021 [slides]

Conference Presentations

Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
Bass UTD-FORMS 2026 · CODE@MIT 2025 · WoPA 2024 [video] · Marketing Science 2023 · TPM 2023 · ACIC 2023 · Marketing Science: DEI 2023
Learning from Editorial Decisions: Optimizing Audience-Wide Content Promotions with Causal Machine Learning
INFORMS 2023 · QME 2023 · EURO Pricing 2023 · ACIC 2024 · INFORMS RPM 2023 · INFORMS MSOM 2023 · Causal Data Science Meeting 2021 · SCECR 2021 · Marketing Science 2021 · EC'23
Return-Aware Platform Experimentation: New Directions for Research
DRO/Deming Workshop on Experimentation @ Columbia
Statistical Foundations of LLM-based A/B Testing: A Surrogacy Framework for Human Causal Inference
DRO/Deming Workshop on Experimentation @ Columbia
Logging Policy Design for Off-Policy Evaluation
Poster: ACIC 2026
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
MLHC 2022
Predicting COVID-19 Spread from Large-Scale Mobility Data
KDD 2021
Monitoring the COVID-19 Epidemic with Nationwide Telecommunication Data
AI+X Summit @ ETH AI Center, 2021