Bridging Industry and Academia
in Causal Data Science

Fostering a dialogue between industry and academia on causal data science.

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November 12–13 2025, online.

Maastricht University logoCopenhagen Business School logo
Programme 202501

Causal Data Science Meeting 2025

All scheduled times are in the Amsterdam/Copenhagen time zone. Paper titles to be added.

10:30 – 11:50

  • Martin Haugh (Imperial College)
  • Audrey Poinsot (INRIA & Ekimetrics)
  • Ameya Divekar (Michelin)
  • Jan Rabenseifner (U of Hamburg)

11:50 – 13:00

  • Break

13:00 – 14:20

  • Evgenii Ozhegov (Zalando)
  • Alexander Lammers (FOM)
  • Michael Sigmund (OeNB)
  • Julia Hatamayr (U of York)

14:20 – 14:40

  • Break

14:40 – 16:00

  • MaryLena Bleile (Sanofi)
  • Nicolas Ferrari Ortiz (LATAM Airlines)
  • Rylan Miller (Uni Maryland)
  • Vishal Verma (Carnegie Mellon)

16:00 – 16:20

  • Break

16:20 – 17:40

17:40 – 18:00

  • Break

18:00 – 19:20

  • Michael Denly (Texas A&M)
  • Yonghan Jung (U of Illinois Urbana-Champaign)
  • Alec McClean (NYU Langone)
  • Timothy Sujidono (Stanford)

10:30 – 11:50

  • Quentin Gallea (Independent)
  • Michael Knaus (U of Tübingen)
  • Remi Khellaf (INRIA)
  • Johanna Kutz (U of St Gallen)

11:50 – 13:00

  • Break

13:00 – 14:20

  • Lokesh Nagalapatti (Microsoft Research)
  • Philipp Bach (FU Berlin)
  • Carlos Trujillo (PyMC Labs)
  • Hüseyin Kücükali (U of Utrecht)

14:20 – 14:40

  • Break

14:40 – 16:00

  • Spotlight Session (Short presentations)
  • Vahid Balazadeh (U of Toronto)
  • Yan Chen (Duke Fuqua)
  • Arda Güler (Goethe U Frankfurt)
  • Jack Fitzgerald (VU Amsterdam)
  • Fabian Muny (U of St Gallen)
  • Ellestina Jumbe (U of Rome Tor Vegata)
  • Hugo Gobato Souto (U of Sao Paolo)
  • Shi Bo (Boston University)
  • Rebecca Supple (U of St Andrews)
  • Theresa Schmitz (HHU Düsseldorf)
  • Senan Hennessy (Cornell)
  • Adam Hardaker (U. of Kassel)

16:00 – 16:20

  • Break

16:20 – 17:40

  • Keynote with Q&A: Stefan Feuerriegel (LMU)

17:40 – 18:00

  • Break

18:00 – 19:20

  • Ron Kohavi (Independent)
  • Naveen Basavanhally (Intuit)
  • Tilman Drerup (Instacart)
  • Minha Hwang (Microsoft)
Keynote02

Welcome Prof. Stefan Feuerriegel as our 2025 keynote speaker.

Susan Athey

Stefan Feuerriegel heads the new Institute of Artificial Intelligence (AI) in Management. He holds a dual affiliation as a full professor at LMU Munich School of Management and the Faculty of Mathematics, Informatics, and Statistics at LMU Munich.

In 2024, he visited the Stanford University in the USA as a Visiting Scholar. In 2025, he was a visiting scholar at the Cambridge Centre for AI in Medicine (CCAIM) at the University of Cambridge. Previously, Stefan was an assistant professor at ETH Zurich. He gaduated in 2015 with a Ph.D. at the Chair for In­form­a­tion Sys­tems Re­search (Prof. Dr. Dirk Neu­mann), Uni­ver­sity of Freiburg. Stefan has co-au­thored 70+ journal art­icles and 80+ peer-re­viewed con­fer­ence pa­pers. These works have ap­peared in top out­lets from gen­eral sci­ence (e.g. Nature, PNAS), man­age­ment (e.g Man­age­ment Sci­ence, Mar­ket­ing Sci­ence) and machine learning (e.g. NeurIPS, ICML, ICLR, WWW, KDD, ACL, EMNLP, AAAI). Stefan currently serves as methodological expert for the Academy of Management Journal (AMJ). His group is sup­por­ted by vari­ous com­pan­ies (e.g. Google, Mi­crosoft, Or­acle, Nvidia, Amazon) and mul­tiple grants, for which the fund­ing volume totals to more than EUR 5.5 mil­lion. In particular, he received an SNSF Eccellenza Grant, which is the equivalent in Switzerland to the ERC Starting Grant.

Participants03

Participating companies, among others.

OE logo2020INC logoThe Paak logoEphicient logoToogether logo
AriseHealth logoOE logo2020INC logoThe Paak logoEphicient logoToogether logo
AriseHealth logoOE logo2020INC logoThe Paak logoEphicient logoToogether logo
AriseHealth logoOE logo2020INC logoThe Paak logoEphicient logoToogether logo
AriseHealth logoOE logo2020INC logoThe Paak logoEphicient logoToogether logo
Who it's for04

Research meets practice.

Students and Researchers

Explore cutting-edge methodologies and engage in discussions about the role and impact of causality in machine learning.

Industry Professionals

Bridge the gap between theory and practice by exploring real-world applications of causal data science.

Policy Makers

Understand the role of causality for fairness, robustness, and discrimination in policy-making.

Image: ID 241391100 © Evgeny Turaev | Dreamstime.com

About the Meeting05

Providing an open space to advance the frontier of causal data science.

The Causal Data Science Meeting was founded in 2020 and thought as as a small-scale workshop for 50 attendees. However, already in its first year, CDSM received an overwhelming response of 900 pre-registrations, which encouraged us to continue the event annually. We aim to create a friendly, efficient, and constructive environment for academics and practitioners to exchange ideas on all causality-related topics in data science and machine learning. We strive to maintain transparency in our non-profit goal and use all sponsorships received to cover smaller expenses and PhD research.

5.200+

Participants since 2020

38%

Accepted presentations

Past keynote speakers

Judea Pearl
UCLA
Silivia Chiappa
Google DeepMind
Guido Imbens
Stanford University
Sara Magliacane
Amsterdam Machine
Learning Lab
Elias Bareinboim
Columbia University
Sean Taylor
Lyft
Dominik Janzing
Amazon Research
Susan Athey
Stanford University
Sponsors06

Thank you for sponsoring the #CDSM25

Become a Sponsor

Sponsors of the event will be displayed on the conference website and conference materials, with an opportunity to provide further information and job postings in the field of causal data science. During the last conference, sponsors had an exposure to more than 1.200 online participants.

What you get: Logos of the sponsoring company on the conference website of the Causal Data Science Meeting 2025 at causalscience.org (October 01 onwards), (b) visibility on presentation slides of the main conference (Welcome, Keynotes, Breaks; November 5-6), and (c) a short profile of the company , including links to three sponsor’s job postings related to causal inference. Proceeds from sponsoring are used to cover opearating expenses and research for/with PhDs.

Voices07

What participants say

I am thrilled to see people from different disciplines come together.

Guido Imbens
Stanford University, Recipient of the 2021 Nobel Memorial Prize in Economic Sciences

The next revolution will be even more impactful upon realizing that data science is the science of interpreting reality, not of summarizing data.

Judea Pearl
UCLA, Recipient of the Turing Award in 2011, Author of The Book of Why

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Organisers08

The Causal Data Science Meeting 2024 is jointly organized by researchers from Maastricht University, Netherlands, and Copenhagen Business School, Denmark.

Paul Hünermund
Assistant Professor, Copenhagen Business School
Jermain Kaminski
Assistant Professor, Maastricht University
Carla Schmitt
PhD Candidate, Maastricht University
Beyers Louw
Assistant Professor, Rotterdam School of Management
Maastricht University Tapijn