Talks
| Year | Event |
|---|---|
| 2024 | Causal Data Science Meeting, Sensitivity Analysis for Causal ML: A Use Case at Booking.com, virtual, slides online |
| Data Makers Fest, Porto, Tutorial and talk on Introduction to Causal Machine Learning | |
| KDD 2024 Workshop - Causal Inference and Machine Learning in Practice, Sensitivity Analysis for Causal ML: A Use Case at Booking.com, Barcelona | |
| ISMS Marketing Science Conference, Sydney, DoubleMLDeep: Estimation of Causal Effects with Multimodal Data1 | |
| ZIB-Akademie, Kiel, Introduction to Causal Machine Learning | |
| PyCon DE & PyData Berlin, Using ML to find out the “Why”? A Tutorial in Causal Machine Learning | |
| The University of North Carolina at Chapel Hill, Cecil G. Sheps Center for Health Services Research, Causal Machine Learning with DoubleML | |
| Mercator Research Institute on Global Commons and Climate Change, Berlin, Workshop in Causal ML | |
| Emerging Applications Section Series, Royal Statistical Society, virtual, Heterogeneity in the US Gender Wage Gap | |
| Brown Bag Seminar, DICE University of Düsseldorf, slides online, Double Machine Learning - Practical Considerations and Evidence from Extensive Simulations | |
| 2023 | R User Group Hamburg, Teaching Causality and Causal ML with Shiny Apps |
| Tools for Causality, Grenoble, Double Machine Learning (focus on Python) | |
| Online Causal Inference Seminar (virtual), (Tutorial) DoubleML - A state-of-the-art framework for double machine learning in Python and R, slides online, video online | |
| YES Causal Inference, Eindhoven, Practical Aspects of Double Machine Learning, slides online | |
| 2022 | UAI, Eindhoven, Tutorial Double Machine Learning: Causal Inference based on ML, materials online |
| UseR!2022, virtual, Tutorial Causal Machine Learning with DoubleM materials online, video online | |
| Minds Mastering Machines, Karlsruhe, Introduction to Causal Inference | |
| DAGStat, Hamburg, DoubleML - An Object-Oriented Implementation of DoubleML in R | |
| 2021 | UseR!2021, virtual, Regular Talk DoubleML - Double Machine Learning in R, video online |
| Seminar Series of the Analytics, Insights and Measurement (AIM) – Data Science Team at Google Presentation, virtual, DoubleML – A State-of-the-Art R/Python Framework for Causal Machine Learning | |
| External Speaker Series of the Data Science Community at Booking.com, Amsterdam, Netherlands Presentation, virtual, DoubleML – A State-of-the-Art R/Python Framework for Causal Machine Learning | |
| 2020 | HCHE Center Day, virtual, Gaining insights from optimal planning problems for COVID-19 shielding in Germany - a multi-group SEIR framework |
| IAB International Workshop on Machine Learning in Labor, Education and Health Economics, virtual, Heterogeneity in the U.S. Gender Wage Gap | |
| Smiles Summer School, virtual, Heterogeneity in the U.S. Gender Wage Gap | |
| Franco-German Fiscal Policy Seminar, virtual, Gaining insights from optimal planning problems for COVID-19 shielding in Germany - a multi-group SEIR framework | |
| 2019 | EEA, Manchester, Heterogeneity in the U.S. Gender Wage Gap |
| HCHE Center Day, Hamburg, Heterogeneity in the U.S. Gender Wage Gap | |
| German Economic Association (VfS), Leipzig, Heterogeneity in the U.S. Gender Wage Gap | |
| 2018 | German Statistical Week, Young Researcher Seminar, Linz, Heterogeneity in the Heterogeneity in the U.S. Gender Wage Gap |
| Machine Learning in the Castle/Machine Learning in Economics and Econometrics, Munich, Heterogeneity in the U.S. Gender Wage Gap | |
| 2016 | European Workshop on Econometrics and Health Economics, Odense, Semiparametric Modeling of Count Data with an Application to Health Service Demand |
| MEA Seminar, Munich, Semiparametric Modeling of Count Data with an Application to Health Service Demand |
Footnotes
Presented by co-authors.↩︎