Philipp Bach
Assistant Professor (Juniorprofessor) of Econometrics; FU Berlin; Interests: Causal machine learning, causality, data science, statistics, econometrics ; philippbach.github.io
- Join us on Thursday in Berlin! Jana is a specialist in (modified) causal forests having super valuable experience from implementing and applying these fancy estimators in labor economics! 🚀
- 🗓️ Thursday, January 22: We are very happy to welcome Jana Mareckova at the Research Seminar in Economics at @freieuniversitaet.bsky.social. She will present her work on „A Causal Machine Learning Analysis of Swiss Active Labor Market Policies“ #EconFUBerlin #RseFUBerlin
- 📣 Announcing the First DoubleML User Survey! 📊 We’re excited to launch the first DoubleML User Survey! We’d love to hear from all prospective, new, or experienced users of DoubleML in Python or R. 🔗Please take part here: forms.gle/HjZsWgrF5UEF... #EconSky #CausalSky #dataSkyence #Python #R
- 💬 The survey takes about 10–15 minutes and your feedback will directly inform the future development of our causal ML library. ✉️ Please feel free to share this with colleagues who use DoubleML.
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- 👋 Hello, causal inference people in Berlin. Nice to meet you 🎉
- Berliners, help welcome @philippbach.bsky.social to the local causal inference scene! :) 👋
- Thank you @janmarcus.de and thanks to everybody who joined the event yesterday. For me it was a great kickoff for all the upcoming projects and teaching activities at @freieuniversitaet.bsky.social !
- 🎉 Yesterday, we had the pleasure of welcoming our new tenure-track Assistant Professor @philippbach.bsky.social at @freieuniversitaet.bsky.social In his talk, Philipp gave an inspiring overview of his work in the field of #CausalMachineLearning: method development, software tools, and applications.
- Reposted by Philipp BachYou want to see @philippbach.bsky.social and @shushmargaryan.bsky.social in one session? Come to the welcome event for our new colleague Philipp Bach at @fu-berlin-vwl.bsky.social on Thursday!
- Reposted by Philipp BachGreat to see such a strong presence of @fu-berlin-vwl.bsky.social at the @vfsecon.bsky.social's Annual Conference in Cologne – always an inspiring venue for research and exchange! @danzernatalia.bsky.social @piotrlarysz.bsky.social @philippbach.bsky.social @phaan.bsky.social @simonvoss.bsky.social
- Last day to register for our BENA Skills Camp in September in Berlin! #EconSky #EconConf #dataSkyence #CausalSky
- 💡 Curious about Causal Machine Learning? Join the BENA Skills Camp with Philipp Bach 📅 September 10–11, 2025 📍 FU Berlin 📝 Register by August 5 Details: labor-research.net/2025/06/19/b... #ML #CausalInference #DataScience #BENA
- Join us for a 2 days hands-on workshop on Causal Machine Learning taking place in September at @freieuniversitaet.bsky.social #EconSky #Causality
- 💡 Curious about Causal Machine Learning? Join the BENA Skills Camp with Philipp Bach 📅 September 10–11, 2025 📍 FU Berlin 📝 Register by August 5 Details: labor-research.net/2025/06/19/b... #ML #CausalInference #DataScience #BENA
- Reposted by Philipp BachWe are looking for PhD students! More information at www.wiwiss.fu-berlin.de/fachbereich/...
- Thanks! I totally agree with @mcknaus.bsky.social. Also whenever I start some new Causal "ML" projects, the first benchmark is always OLS & logistic regression learners; it helps you to see the connection to standard approaches; not only for linear regression, but also for doubly robust etc.
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- 🆕 New year, new working paper: Adventures in Demand Analysis using AI 🆕 Our question: How can we advance demand analysis using recent tools from AI (Deep Learning, LLMs etc)? Our idea: Use information from text & images in digital marketplaces like Amazon Paper: arxiv.org/abs/2501.00382 #EconSky
- This looks like a pretty useful paper and - probably more importantly - a pretty useful practical procedure to find our what happens when running Causal Machine Learning. Balancing checks etc are common in traditional approaches (like PSM), but are usually mor tricky to assess in ML-based estimation
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- 🚀 New release of DoubleML with new features and much more documentation for practical applications🚀 Thanks a lot to @svenklaassen.bsky.social made most of the changes 🙏 New changes (more info below): 1. Updated Userguide 2. Several new Examples on how to use DoubleML 3. Updates to the Python API
- That's great, thank you! I was waiting for this already for some time ;) it's a great book
- 🔥 Exciting news about my book #CausalAnalysis! A free online version is now available, many thanks to MIT press for making this possible! Here's the link to the open access version: mitpress.ublish.com/ebook/causal...
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